Question
In: Math
Homer is studying the relationship between the average daily temperature and time spent watching television and...
Homer is studying the relationship between the average daily temperature and time spent watching television and has collected the data shown in the table. The line of best fit for the data is yˆ=−0.6x+94.5. Assume the line of best fit is significant and there is a strong linear relationship between the variables.
Temperature (Degrees) 40506070 Minutes Watching Television 70655952
(a) According to the line of best fit, what would be the predicted number of minutes spent watching television for an average daily temperature of 39 degrees? Round your answer to two decimal places, as needed.
Provide your answer below:
The predicted number of minutes spent watching television is:
And is the answer:
A: reliable and reasonable
B: unreliable but reasonable
C: unreliable and unreasonable
D: reliable but unreasonable
Solutions
milcah answered 1 year agoRelated Solutions
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In studying the relationship between average daily
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A teacher is interested in the relationship between the time spent studying for an exam and...
A teacher is interested in the relationship between the time
spent studying for an exam and exam score. The table lists scores
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Hours studied 5 18 3 15 17 Exam score 63 87 79 72 82 . Step 4 of 6
: Calculate the Coefficient of Determination (R2). Round answer to
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A researcher believes that there is a positive relationship between the time spent in studying and...
A researcher believes that there is a positive relationship
between the time spent in studying and the score a student gets at
the end of the semester. She selected a sample of students and
recorded the following data:
Time Spent in minutes
Score out of 100
120
86
75
83
60
78
45
75
180
91
30
72
90
84
After analyzing the data using Microsoft Excel, the researcher
got the outputs below:
Answer the following (Please, use at least...
1，Suppose you want to test whether there is any relationship between average time spent watching TV...
1，Suppose you want to test whether there is any relationship
between average time spent watching TV and average time spent
reading storybooks. The correct alternative hypothesis for this
Chi-Square test of Independence is
Select one:
time spent watching TV and time spent reading storybooks are
independent.
time spent watching TV and time spent reading storybooks are
dependent.
time spent watching TV and time spent reading storybooks have an
inverse relationship.
time spent watching TV and time spent reading storybooks are...
Question 1. A soil management specialist was studying the relationship between the average temperature (in ºC)...
Question 1. A soil management specialist was
studying the relationship between the average temperature (in ºC)
and the yield in bushels per acre for a certain crop. The data is
given in Table 1 below.
Table 1
Region
Temperature
Yield
(in ºC)
(in bushels per acre)
X
Y
1
4
1
2
8
9
3
10
7
4
9
11
5
11
13
6
6
7
Construct a scatter a scatter diagram for the paired data.
As temperature increases, does...
A sociologist claims that children ages 3 - 12 spent more mean time watching television in...
A sociologist claims that children ages 3 - 12 spent more mean
time watching television in 1981 than children ages 3 - 12 do
today. A study was conducted in 1981 and a similar study was
recently conducted. At
alphaα
= 0.025, can you support the sociologist's claim?
Sample 1
Sample 2
1981 Study
2.5
2.1
2.3
Recent Study
1.9
2.0
1.6
1.6
2.6
2.1
1.5
2.1
2.3
2.2
1.0
1.9
1.6
1.8
0.9
Calculate the Test Statistic and P-value....
A researcher wants to determine if the number of minutes spent watching television per day is...
A researcher wants to determine if the number of minutes spent
watching television per day is independent of gender. A random
sample of 315 adults was selected and the results are shown below.
Is there enough evidence to conclude that the number of minutes
spent watching television per day is related to gender? Test at the
alpha=0.05 level of significance. Please show all
work/calculations.
Minutes spent watching tv per day in table
below:
GENDER
0-30
30-60
60-90
90-OVER
Male
25...
The owner of Haverty’s Furniture Company was studying the relationship between sales and the amount spent...
The owner of Haverty’s Furniture Company was studying the
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sales information for the last four months is repeated below:
Month
Advertising Expense
($million)
Sales Revenue
($ million)
July
2
7
August
1
3
September
3
8
October
4
10
Draw a scatter diagram and discuss whether or not it indicates
that there is a relationship between the advertising expense and
sales revenue.
Compute the coefficient of correlation. Interpret it.
Compute...
A marketing professor at Givens College is interested in the relationship between hours spent studying and...
A marketing professor at Givens College is interested in
the relationship between hours spent studying and total points
earned in a course. Data collected on 10 students who took the
course last quarter are in file
HoursPts.xlsx.
Hours
Points
45
40
30
35
90
75
60
65
105
90
65
50
90
90
80
80
55
45
75
65
a) Use XLSTAT to create a scatterplot with hours spent studying
on the horizontal axis and total points earned on the...
A marketing professor at Givens College is interested in the relationship between hours spent studying and...
A marketing professor at Givens College is interested in the
relationship between hours spent studying and total points earned
in a course. Data collected on 10 students who took the course last
quarter follow.
Hours
Spent Studying
Total
Points Earned
45
40
30
35
90
75
60
65
105
90
65
50
90
90
80
80
55
45
75
65
(a)
Develop an estimated regression equation showing how total
points earned can be predicted from hours spent studying. (Round
your...
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