Questions
15-6: Consider the following set of data: x1              10        8          11    &nbs

15-6: Consider the following set of data:

x1              10        8          11        7          10        11            6

x2         50        45        37        32        44        51            42

y          103      85        115      73        97        102            65

  1. Obtain the estimate regression equation.

  1. Examine the coefficient of determination and the adjusted of determination. Does it seem that either of the independent variables’ addition to R2 does not justify the reduction in degrees of freedom that results from its addition to the regression model? Support your assertions.

  1. Conduct a hypothesis test to determine if the dependent variable increases when x2 increases. Use a significance level of 0.025 and the p-value approach.

  1. Construct a 95% confidence interval for the coefficient of x1.

In: Statistics and Probability

A study aimed to determine if grapefruit juice has beneficial effects on the pharmacokinetics of oral...

A study aimed to determine if grapefruit juice has beneficial effects on the pharmacokinetics of oral digoxin, a drug often prescribed for heart ailments. Seven healthy non-smoking volunteers participated in the study. Subjects took digoxin with water for 2 weeks, no digoxin for 2 weeks, and then digoxin with grapefruit juice for 2 weeks. The peak plasma digoxin concentrations (Cmax; ng/mL) when subjects took digoxin under the two conditions are given in the following table:

Subject 1 2 3 4 5 6 7

Water 2.34 2.46 1.87 3.09 5.59 4.05 6.21

Grapefruit Juice 3.03 3.46 1.97 3.81 3.07 2.62 3.44

Decrease -0.69 -1.00 -0.10 -0.72 2.52 1.43 2.77

While small, note that the sample size was chosen carefully by the authors. In their paper they state that “assuming an � level of 0.05, a sample size of seven subjects has a power of 85% to detect a 25% change in digoxin Cmax”. Lower values of Cmax are better since they imply that digoxin is available in the body for longer. Is there any evidence that grapefruit juice increases the effectiveness of oral digoxin, by decreasing Cmax? (a) Identify one issue in the design of this experiment that undermines being able to use the data to answer this question. How could the design be improved? [2 marks]

(b) Suppose mew is the true mean decrease in digoxin Cmax with grapefruit compared to water. Define the null and alternative hypotheses for this study in symbols. [1 mark]

(c) We have two sets of Cmax measurements, one for water and one for grapefruit. Briefly explain why we work with the differences rather than carrying out a twosample t-test to compare the treatments. [1 mark]

(d) The seven differences in Cmax have mean 0.601 ng/mL with standard deviation 1.609 ng/mL. Use these values to test the hypotheses in (b). What do you conclude? [2 marks]

(e) How many of the seven subjects had a lower Cmax value with grapefruit juice? Use this to find the P-value for a sign test of whether grapefruit juice tends to lower Cmax. What do you conclude? [2 marks]

(f) For a sign test from seven subjects, what is the minimum number of reductions in Cmax needed to give evidence of an effect at the 5% level? [1 mark]

In: Statistics and Probability

I dont know what to do: Is there a significant difference between drug type and mean...

I dont know what to do: Is there a significant difference between drug type and mean relative-change* of Cholesterol from screening to follow up?

* Relative Change = (Follow up - Initial) / Initial

Patient ID Drug Stomach Pain Sex Age Height Systolic BP Diastolic BP Exercise Coffee Consumption Alcohol Consumption Weight Weight3 Cholesterol Cholesterol3 Triglycerides Triglycerides3 HDL HDL3 LDL LDL3
1 B Yes F 22 67.13 124 78 180 1 > 2 138 145 197 182 152 135 43 34 151.6 145.8
2 B Yes M 22 63 122 70 0 2 < 2 115 122 181 151 59 57 60 48 120.1 102.1
3 B No F 22 72 124 80 90 0 < 2 190 190 190 169 117 86 41 37 147.1 130.6
4 A Yes M 22 69 120 70 120 5 > 2 115 105 131 133 54 72 58 67 72.1 64.8
5 B Yes M 25 73 138 92 40 2 > 2 160 165 172 166 93 139 49 40 121.5 123.8
6 B Yes M 22 67.5 100 72 0 0 < 2 150 165 233 229 176 144 42 38 188.2 188.7
7 A Yes M 23 73 128 78 0 2 < 2 154 150 194 148 79 80 49 26 143.7 120.7
8 A No M 24 71.5 128 74 90 0 < 2 185 187 155 148 89 73 45 50 108.6 96.8
9 A Yes F 23 73.5 124 82 60 1 > 2 178 166 234 175 307 88 28 28 201.1 145.6
10 A Yes M 22 72.25 130 88 40 0 0 158 163 201 203 88 112 50 40 149.6 161.2
11 A No M 26 73 130 86 0 1 < 2 188 195 258 276 299 199 30 21 223.2 251.8
12 A No M 22 64.25 120 74 0 0 > 2 150 150 212 228 52 61 69 60 142.2 167
13 B Yes M 22 64.25 120 74 0 4 0 123 131 137 165 158 147 29 39 105.5 123.6
14 B No F 27 65 100 68 180 2 > 2 138 133 285 229 98 89 69 61 214.4 166.6
15 A No M 22 59 124 84 180 0 > 2 143 140 218 172 101 96 46 21 170.4 149.5
16 B Yes F 24 67.5 122 68 210 1 < 2 139 151 167 152 71 91 51 37 114.9 113.5
17 A Yes F 22 71.5 118 70 60 0 < 2 156 155 170 158 81 91 42 40 126.7 116.5
18 A Yes M 22 69 125 76 180 0 < 2 150 154 157 140 86 88 37 34 118.6 104.6
19 A Yes M 24 68 122 74 100 5 > 2 135 128 215 176 71 53 62 46 151.9 129.2
20 A No M 25 74 134 88 180 0 < 2 219 220 194 207 71 130 40 33 152.9 171.9
21 A No F 28 71 110 80 60 2 > 2 173 173 207 231 107 145 53 47 152.3 181.7
22 A Yes M 22 68.5 116 84 280 0 0 151 165 198 199 80 126 44 46 152.7 151
23 A Yes M 23 75.5 124 73 60 1 0 182 183 189 262 47 230 50 31 138.2 227.3
24 A Yes M 24 70 124 72 360 0 < 2 161 163 216 203 95 121 35 28 179.5 173.1
25 B Yes F 22 72 126 88 120 0 0 176 173 212 173 140 88 43 35 166.8 136.6
26 B Yes F 26 72.5 138 82 0 0 < 2 177 175 175 169 77 78 46 52 127.8 115.8
27 B Yes F 23 72 120 68 60 1 < 2 174 197 158 172 57 126 34 30 123.1 140
28 B No F 20 74 118 76 0 2 0 234 217 115 146 95 110 26 33 87.5 111.2
29 B No F 28 66 138 82 120 0 0 150 160 228 224 480 373 29 28 191.3 190
30 A Yes F 23 74 124 76 60 0 < 2 149 150 164 164 94 92 43 44 119.5 118.5
31 B Yes M 22 70 118 72 0 0 < 2 156 160 149 149 155 65 37 29 109.5 119
32 A Yes F 23 71.5 124 70 180 3 < 2 168 170 211 183 63 60 52 44 158 138
33 B Yes F 22 73 122 76 0 0 < 2 182 170 191 185 99 101 39 39 150.4 144.4
34 B No F 40 75 128 80 0 5 > 2 217 230 277 243 240 218 71 28 202.2 211.5
35 B No M 22 65 128 82 120 1 < 2 190 201 178 191 52 77 41 56 136.2 133.8
36 A Yes F 25 69 124 78 150 5 < 2 159 154 157 112 93 71 41 38 114.5 72.9
37 A No M 22 73 126 73 180 0 0 191 199 151 155 44 94 42 44 108.3 109.5
38 A No M 24 59.5 122 72 100 0 0 140 140 209 165 71 71 41 42 166.9 121.9
39 B No F 23 71 116 72 120 0 0 183 186 209 147 95 124 37 29 170.5 116
40 B Yes F 26 71 132 78 90 0 0 162 167 197 216 47 64 43 43 153.2 172
41 B No M 29 69.5 130 82 0 3 < 2 181 169 226 208 126 86 38 36 186 170.6
42 B No F 30 70 112 72 0 5 < 2 196 199 127 139 116 69 32 31 93.1 106.9
43 A No M 25 65.5 120 72 180 2 > 2 141 143 180 162 85 93 41 46 137.6 114.5
44 B No F 25 74 117 77 0 2 0 230 217 117 146 95 110 25 33 87.5 111.2
45 A Yes M 24 70 122 76 100 5 > 2 135 128 215 177 71 53 62 46 151.9 129.2

In: Math

Scroll the bottom arrows to see the whole table. if I make it any smaller you...

Scroll the bottom arrows to see the whole table. if I make it any smaller you will not be able to see the numbers clearly: Is there a relationship between the relative-change* in weight and the relative-change* in Cholesterol level from screening to follow up for patients taking Drug A?

* Relative Change = (Follow up - Initial) / Initial

Patient ID Drug Stomach Pain Sex Age Height Systolic BP Diastolic BP Exercise Coffee Consumption Alcohol Consumption Weight Weight3 Cholesterol Cholesterol3 Triglycerides Triglycerides3 HDL HDL3 LDL LDL3
1 B Yes F 22 67.13 124 78 180 1 > 2 138 145 197 182 152 135 43 34 151.6 145.8
2 B Yes M 22 63 122 70 0 2 < 2 115 122 181 151 59 57 60 48 120.1 102.1
3 B No F 22 72 124 80 90 0 < 2 190 190 190 169 117 86 41 37 147.1 130.6
4 A Yes M 22 69 120 70 120 5 > 2 115 105 131 133 54 72 58 67 72.1 64.8
5 B Yes M 25 73 138 92 40 2 > 2 160 165 172 166 93 139 49 40 121.5 123.8
6 B Yes M 22 67.5 100 72 0 0 < 2 150 165 233 229 176 144 42 38 188.2 188.7
7 A Yes M 23 73 128 78 0 2 < 2 154 150 194 148 79 80 49 26 143.7 120.7
8 A No M 24 71.5 128 74 90 0 < 2 185 187 155 148 89 73 45 50 108.6 96.8
9 A Yes F 23 73.5 124 82 60 1 > 2 178 166 234 175 307 88 28 28 201.1 145.6
10 A Yes M 22 72.25 130 88 40 0 0 158 163 201 203 88 112 50 40 149.6 161.2
11 A No M 26 73 130 86 0 1 < 2 188 195 258 276 299 199 30 21 223.2 251.8
12 A No M 22 64.25 120 74 0 0 > 2 150 150 212 228 52 61 69 60 142.2 167
13 B Yes M 22 64.25 120 74 0 4 0 123 131 137 165 158 147 29 39 105.5 123.6
14 B No F 27 65 100 68 180 2 > 2 138 133 285 229 98 89 69 61 214.4 166.6
15 A No M 22 59 124 84 180 0 > 2 143 140 218 172 101 96 46 21 170.4 149.5
16 B Yes F 24 67.5 122 68 210 1 < 2 139 151 167 152 71 91 51 37 114.9 113.5
17 A Yes F 22 71.5 118 70 60 0 < 2 156 155 170 158 81 91 42 40 126.7 116.5
18 A Yes M 22 69 125 76 180 0 < 2 150 154 157 140 86 88 37 34 118.6 104.6
19 A Yes M 24 68 122 74 100 5 > 2 135 128 215 176 71 53 62 46 151.9 129.2
20 A No M 25 74 134 88 180 0 < 2 219 220 194 207 71 130 40 33 152.9 171.9
21 A No F 28 71 110 80 60 2 > 2 173 173 207 231 107 145 53 47 152.3 181.7
22 A Yes M 22 68.5 116 84 280 0 0 151 165 198 199 80 126 44 46 152.7 151
23 A Yes M 23 75.5 124 73 60 1 0 182 183 189 262 47 230 50 31 138.2 227.3
24 A Yes M 24 70 124 72 360 0 < 2 161 163 216 203 95 121 35 28 179.5 173.1
25 B Yes F 22 72 126 88 120 0 0 176 173 212 173 140 88 43 35 166.8 136.6
26 B Yes F 26 72.5 138 82 0 0 < 2 177 175 175 169 77 78 46 52 127.8 115.8
27 B Yes F 23 72 120 68 60 1 < 2 174 197 158 172 57 126 34 30 123.1 140
28 B No F 20 74 118 76 0 2 0 234 217 115 146 95 110 26 33 87.5 111.2
29 B No F 28 66 138 82 120 0 0 150 160 228 224 480 373 29 28 191.3 190
30 A Yes F 23 74 124 76 60 0 < 2 149 150 164 164 94 92 43 44 119.5 118.5
31 B Yes M 22 70 118 72 0 0 < 2 156 160 149 149 155 65 37 29 109.5 119
32 A Yes F 23 71.5 124 70 180 3 < 2 168 170 211 183 63 60 52 44 158 138
33 B Yes F 22 73 122 76 0 0 < 2 182 170 191 185 99 101 39 39 150.4 144.4
34 B No F 40 75 128 80 0 5 > 2 217 230 277 243 240 218 71 28 202.2 211.5
35 B No M 22 65 128 82 120 1 < 2 190 201 178 191 52 77 41 56 136.2 133.8
36 A Yes F 25 69 124 78 150 5 < 2 159 154 157 112 93 71 41 38 114.5 72.9
37 A No M 22 73 126 73 180 0 0 191 199 151 155 44 94 42 44 108.3 109.5
38 A No M 24 59.5 122 72 100 0 0 140 140 209 165 71 71 41 42 166.9 121.9
39 B No F 23 71 116 72 120 0 0 183 186 209 147 95 124 37 29 170.5 116
40 B Yes F 26 71 132 78 90 0 0 162 167 197 216 47 64 43 43 153.2 172
41 B No M 29 69.5 130 82 0 3 < 2 181 169 226 208 126 86 38 36 186 170.6
42 B No F 30 70 112 72 0 5 < 2 196 199 127 139 116 69 32 31 93.1 106.9
43 A No M 25 65.5 120 72 180 2 > 2 141 143 180 162 85 93 41 46 137.6 114.5
44 B No F 25 74 117 77 0 2 0 230 217 117 146 95 110 25 33 87.5 111.2
45 A Yes M 24 70 122 76 100 5 > 2 135 128 215 177 71 53 62 46 151.9 129.2

In: Math

A researcher designs an experiment to measure the effectiveness of the new ointment in treating shingles....

A researcher designs an experiment to measure the effectiveness of the new ointment in treating shingles. Singles is a very serious, painful disease. A medical doctor examines the sixteen voluntary subjects. She finds four of subjects each with a moderate case of shingles and of these two are females and two are males. The other twelve subjects each have a severe case of shingles and of these eight are females and 4 are males. All subjects are aged 50 to 60, and except for shingles are in good health. For the standard ointment treatment, the doctor knows that females tend to respond better to the treatment than males do.

The statistician in charge of designing the experiment decides to conduct a double blind experiment using two treatment groups of subjects. Neither the doctor nor any of the subjects will know who receives which ointment. The control group will receive the standard ointment treatment for which the effectiveness is well known. The experimental group will receive new ointment. The two ointments are in identical tubes and both ointments appear identical. The subjects will receive detailed instructions on the application of the ointment. Each subject will apply the same amount of ointment three times a day, which is the recommended dosage of the standard ointment. They will have weekly follow up visits over two months after which the experiment will end. During weekly follow-up visits the doctor will assess if patients are correctly applying the ointment and use a Likert scale from 0, 1, 2, 3, to 4 to judge the severity of the rash with 0 indicating no rash and 4 a very severe rash.

Because males and females tend to respond differently to the standard treatment, the researcher must block males and females into a block of all males and another block of all females. For the male block, he randomly assigns one male with moderate case of shingles to new ointment treatment and the other male to the standard ointment treatment. Likewise, he randomly randomly assigns two of males with a severe case to new ointment treatment and the other two to the standard ointment treatment. Similarly, for the female block, he randomly assigns one moderate case to each of the two treatments. In addition, he randomly assigns four of females with a severe case to new ointment treatment and the other four to the standard ointment treatment. He runs the experiment for two months. For both males and females within each block and between each block, he compares how well and how fast the new ointment and the standard ointment work.

A.Why did the design not include a placebo?

B. Does the lack of a placebo put the results into question?

C. Do you see any design flaws in the original design?

Assume individuals with other serious health problems like cancer have a much harder time curing shingles than otherwise healthy individuals and that generally people older than 70 are also harder to cure.

4) When the experiment is replicated, should this additional information be taken into account? Describe how this would affect the design of the experiment.

In: Statistics and Probability

Hypothesis Testing and Confidence Intervals The Reliable Housewares store manager wants to learn more about the...

Hypothesis Testing and Confidence Intervals

The Reliable Housewares store manager wants to learn more about the purchasing behavior of its

"credit" customers. In fact, he is speculating about four specific cases shown below (a) through (d) and

wants you to help him test their accuracy.

b. The true population proportion of credit customers who live in an urban area exceeds 55%

i. Using the dataset provided in Files perform the hypothesis test for each of the above speculations (a) through (d) in order to see if there is an statistical evidence to support the manager’s belief. In each case,

oUse the

Seven Elements of a Test of Hypothesis, in Section 7.1 of your textbook (on or about Page 361) or the Six Steps of Hypothesis Testing I have identified in the addendum.

oUse α=2%for all your analyses,

oExplain your conclusion in simple terms,

oIndicate which hypothesis is the“claim”,

o Compute the p-value,

o Interpret your results,

ii.Follow your work in (i) with computing a 98% confidence interval for each of the variables

described in (a) though (d). Interpret these intervals.

iii.

Write an executive summary for the Reliable Housewares store manager about your analysis,

distilling down the results in a way that would be understandable to someone who does not

know statistics. Clear explanations and interpretations are critical.

Location Income
($1000)		 Size Years Credit
Balance ($)
Rural 30 2 12 3,159
Rural 31 2 4 1,864
Rural 37 1 20 2,731
Rural 27 1 19 2,477
Rural 33 2 12 2,514
Rural 44 1 7 2,995
Rural 42 2 19 3,020
Rural 30 1 14 2,583
Rural 50 2 11 3,605
Rural 35 1 11 3,121
Rural 27 2 1 2,921
Rural 30 2 14 3,067
Rural 22 4 16 3,074
Rural 53 1 7 2845
Suburban 32 4 17 5,100
Suburban 50 5 14 4,742
Suburban 66 4 10 4,764
Suburban 63 4 13 4,965
Suburban 62 6 13 5,678
Suburban 55 7 15 5,301
Suburban 54 6 14 5,573
Suburban 67 4 13 5,037
Suburban 22 3 18 3,899
Suburban 39 2 18 2,972
Suburban 54 3 9 3,730
Suburban 23 6 18 4,127
Suburban 61 2 14 4,273
Suburban 46 5 13 4,820
Suburban 66 4 20 5,149
Suburban 74 7 12 5394
Suburban 66 7 14 5036
Urban 54 3 12 4,016
Urban 55 2 9 4,070
Urban 40 2 7 3,348
Urban 51 3 16 4,110
Urban 25 3 11 4,208
Urban 48 4 16 4,219
Urban 65 3 12 4,214
Urban 55 6 15 4,412
Urban 21 2 18 2,448
Urban 37 5 5 4,171
Urban 21 3 16 3,623
Urban 41 7 18 4,828
Urban 48 2 8 3,866
Urban 34 5 5 3,586
Urban 67 5 1 5,345
Urban 55 6 10 5,370
Urban 52 2 11 3,890
Urban 62 3 2 4,705
Urban 64 2 6 4,157
Urban 29 4 4 3,890
Urban 39 4 15 4,183
Urban 26 7 17 4,603
Urban 44 6 5 3962
Urban 25 3 15 3442

In: Statistics and Probability

Question 8 Hypothesis Test - Terminology Match terms to descriptions Question 8 options: a) The hypothesis...

Question 8
Hypothesis Test - Terminology
Match terms to descriptions Question 8 options:

a) The hypothesis expressing a claim involving one of =, ≤ (at most), or ≥ (at least) and requiring no (null) action.
b) The hypothesis expressing a claim involving one of ≠, >, or < and requiring action.
c) The sign of the critical value of a a 1-tail test with upper reject region is
d) Greek letter denoting the population standard deviation
e) For an upper tail test, the probability of an equal or greater test statistic.
f) Greek letter denoting the population mean
g) The sign of the critical value of a 1-tail test with lower reject region is
h) Rejecting H0 when H0 is actually false
i) The risk as a probability that we are willing to take of rejecting H0 when it is actually true.
j) Greek letter denoting the population proportion
k) Failure to reject H0 when H0 is actually false
l) Rejection of the null hypothesis when H0 is actually true
M) The value of the test statistic where the pvalue = significance level α.

Match with the following:
1) H0
2) HA
3) pvalue
4) alpha α
5) Critical value
6) Type 1 error
7) Type 2 error
8) Not an error
9) Negative
10) Positive
11) μ
12) π
13) σ
14) No answer fits

In: Statistics and Probability

Group A has three scores, 12, 39, 42. Group B has three scores, 49, 46, 14....

  1. Group A has three scores, 12, 39, 42. Group B has three scores, 49, 46, 14. Group C has three scores, 49, 39, 32. Calculate the grand mean (round to two digits).  

QUESTION 2

  1. Group A has three scores, 36, 50, 47. Group B has three scores, 17, 40, 18. Group C has three scores, 40, 29, 18. Calculate MS error (Mean squared error for the error term). Round to one digit.

QUESTION 3

  1. Group A has three scores, 17, 31, 39. Group B has three scores, 23, 36, 29. Group C has three scores, 48, 16, 13. Calculate SS total (the total sums of squares). Round to two digits.

In: Statistics and Probability

Question 1 A small manufacturing company recently instituted Six Sigma training for its employees. Two methods...

Question 1
A small manufacturing company recently instituted Six Sigma training for its employees. Two
methods of training were offered: online and traditional classroom. Management was interested
in whether the division in which employees worked affected their choice of method.

Below is a table summarizing the data.

Sales

Quality

Operations

Total

Traditional

16

10

8

34

Online

35

23

44

104

Total

51

33

52

136

(a) What is the probability that an employee chose online training? [2 marks]
(b) What is the probability that an employee is in the quality division and chose online training?
[2 marks]
(c) What is the probability that an employee chose online training given that he or she is in the
sales division? [2 marks]
(d) What is the probability that an employee chose online training or is from the sales division?
[3 marks]
(e) Are the events “chose online training” and “from the sales division” independent? Give
reason for your answer. [2 marks]


Question 2
A game consists of flipping a fair coin twice and counting the number of heads that appear. The
distribution for the number of heads, X, is given by: P(X = 0) = ¼; P(X =1) =1/2; P(X = 2) =¼


A player receives $0 for no heads, $2 for 1 head, and $5 for 2 heads (there is no cost to play the
game). Calculate the expected amount of winnings ($). [2 marks]


Question 3
Internet service providers (ISP) need to resolve customer problems as quickly as possible. For
one ISP, past data indicate that the likelihood is 0.80 that customer calls regarding Internet
service interruptions are resolved within one hour. Out of the next 10 customer calls about
interrupted service,
(a) What is the probability that at least 7 will be resolved within one hour? [4 marks]
(b) How many customers would be expected to have their service problems resolved within one
hour? [1 mark]


Question 4
A mail-order company receives an average of five orders per 500 solicitations. If it sends out 100
advertisements, find the probability of receiving at least two orders. [Hint: Use the Poisson
distribution]. Ensure that you define the variable of interest.


Question 5
An airline knows from experience that the distribution of the number of suitcases that get lost
each week on a certain route is approximately normal with μ = 15.5 and σ = 3.6. What is the
probability that during a given week the airline will lose between 10 and 20 suitcases?


Question 6
Assume that the heights of women are normally distributed with a mean of 62.2 inches and a
standard deviation of 2.3 inches. Find the third quartile that separates the bottom 75% from the
top 25%. Total 4 marks

In: Statistics and Probability

Modern medical practice tells us not to encourage babies to become too fat. Is there a...

Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females. x (lb) 20 24 22 25 20 15 25 21 17 24 26 22 18 19 y (lb) 126 124 122 124 130 120 145 130 130 130 130 140 110 115 Σx = 298; Σy = 1,776; Σx2 = 6,486; Σy2 = 226,362; Σxy = 37,990 (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your answers for least-squares estimates to three decimal places.) x = y = b = ŷ = + x (b) Draw a scatter diagram for the data. Plot the least-squares line on your scatter diagram. WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot (c) Find the sample correlation coefficient r and the coefficient of determination. (Round your answers to three decimal places.) r = r2 = What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.) % (d) If a female baby weighs 17 pounds at 1 year, what do you predict she will weigh at 30 years of age? (Round your answer to two decimal places.) lb

In: Statistics and Probability