Question

In: Statistics and Probability

Assume that it is appropriate and meaningful to calculate the correlation coefficient of two variables X...

Assume that it is appropriate and meaningful to calculate the correlation coefficient of two variables X and Y. If the correlation coefficient, r, has a value -0.95

Select one:

a. it is impossible to tell if there is a linearly relationship between the two variables

b. there is a strong linear relationship between the two variables

c. there is no relationship between the two variables

d. the slope of the regression line will be -0.95

2.

The father's height (in inches) and the (adult) son's height (in inches) are linearly associated. In a sample of 100 father-and-son pairs, the correlation coefficient, r, was found to be 0.8. If the height measurements of the father's and the son's are changed to centimetre (cm), what will be the new correlation coefficient ? (Note: one inch =2.54 cm)

Select one:

a. The answer cannot be calculated due to not enough information

b. 0.8

c.

d.

3.

Beer and Blood Alcohol Content

The relationship between number of beers consumed (x) and blood alcohol content ( y) was studied in 25 male college students by using simple linear regression. The estimated blood alcohol content ( ŷ ) is given in the following regression equation:

ŷ = -0.0127 + 0.0180x

The above equation estimates that:

Select one:

a. each beer consumed increases blood alcohol content by 0.0127

b. on average each beer consumed increases blood alcohol content by 0.0307

c. on average each beer consumed increases blood alcohol content by 0.0180

d. on average each beer consumed increases blood alcohol content by 0.0153

e. on average it takes 0.0180 beers to increase blood alcohol content by 0.0127

4.

Beer and Blood Alcohol Content

The relationship between number of beers consumed (x) and blood alcohol content ( y) was studied in 25 male college students by using simple linear regression. The estimated blood alcohol content ( ŷ ) is given in the following regression equation:

ŷ = -0.0127 + 0.0180x

Suppose that the legal blood alcohol content limit for driving is 0.05. If John consumed 4 beers the model would predict that he would be:

Select one:

a. 0.0027 above the legal limit

b. 0.0347 above the legal limit

c. 0.0093 above the legal limit

d. 0.022 above the legal limit

e. 0.0027 below the legal limit

5.  

A multiple choice test has 12 questions. Each question has 4 choices of which exactly one is correct. If a student makes random guesses for all 12 questions, what is the probability that the student will get exactly 5 questions correct?

Select one:

a. The answer cannot be determined from the given information.

b. 0.2270

c. 0.0584

d. 0.1032

e. 0.0532

6.

A medical doctor knows from past experience that 80% of his patients have private health insurance and 20% do not have private insurance. He also notices that among those who have private health insurance, 65% are over the age of 50 while among those who do not have private health insurance, only 30% are over the age of 50. What is the probability that a randomly selected patient is over 50 years of age and has private health insurance?

Select one:

a. 0.65

b. 0.3

c. 0.52

d. 0.16

e. The answer cannot be determined from the given information.

please provides this question answer quickly. i need it urgently.

Solutions

Expert Solution

1

Assume that it is appropriate and meaningful to calculate the correlation coefficient of two variables X and Y. If the correlation coefficient, r, has a value -0.95

Answer : b. there is a strong linear relationship between the two variables

2.

The father's height (in inches) and the (adult) son's height (in inches) are linearly associated. In a sample of 100 father-and-son pairs, the correlation coefficient, r, was found to be 0.8. If the height measurements of the father's and the son's are changed to centimetre (cm), what will be the new correlation coefficient ?

Answer : b. 0.8

3.

Beer and Blood Alcohol Content

The relationship between number of beers consumed (x) and blood alcohol content ( y) was studied in 25 male college students by using simple linear regression. The estimated blood alcohol content ( ŷ ) is given in the following regression equation:

ŷ = -0.0127 + 0.0180x

The above equation estimates that:

Answer e. on average it takes 0.0180 beers to increase blood alcohol content by 0.0127


Related Solutions

1. If the linear correlation coefficient of two variables is zero, then there is no _______________...
1. If the linear correlation coefficient of two variables is zero, then there is no _______________ relationship between the variables. A linear correlation coefficient of 0.92 suggests a ________________ linear relationship than a linear correlation coefficient of -0.86. The value of the ___________________ always lies between -1 and 1, inclusive. If the linear correlation coefficient of the regression line is negative, then the ____________________ of the least squares (linear) regression line must be negative. Give a detailed interpretation of the...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data...
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data for “Hours of Exercise” and “Life Satisfaction.” (0 = Not at all satisfied). Provide an APA-style results section write – up. (b) Graph the relationship. HINT: Below you will find instructions for the APA-style write-up. Complete the write-up on a word document and upload the file for submission. Hours of Exercise.    2 0 5 6 1 2 4 4 3 4 life satisfaction...
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly...
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly from 0. (Hint: You will first need to calculate the correlation coefficient.) 14        15 17        18 19        13 21        2 23        4 11        5 9          3 13        15 14        18 21        2
From the table below, calculate the correlation coefficient and the coefficient of determination. Inflation rate (x)...
From the table below, calculate the correlation coefficient and the coefficient of determination. Inflation rate (x) Prime lending rate (y) 3.2 5.2 6.2 8.0 11.0 10.8 9.1 7.9 5.8 6.8 6.5 6.9 7.6 9.0
For an inverse relationship between two variables, the sign of the correlation coefficient is "+" TRUE...
For an inverse relationship between two variables, the sign of the correlation coefficient is "+" TRUE OR FALSE
1. If the coefficient of determination is 25%, the correlation between two continuous variables is a)...
1. If the coefficient of determination is 25%, the correlation between two continuous variables is a) -5 b) 5 c) -.25 d) .25 e) a or b f) none of the above 2. To assess the correlation between height and weight, one should use a) spearman correlation b) regression equation c. pearson correlation d) point biserial correlation 3. For a computed r = -0.547, given a dataset of n = 16, alpha = .05, and two-tailed significance, one should fail...
Let's say that we have two variables X and Y. We calculate their correlation value to...
Let's say that we have two variables X and Y. We calculate their correlation value to be r = -.8012. What is the interpretation of this value?
A perfect correlation between two variables would be represented by a coefficient of: a. .00 b....
A perfect correlation between two variables would be represented by a coefficient of: a. .00 b. 1.00 c. 2.00 d. 100.00
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y...
Calculate the coefficient of correlation, and interpret the result. (not from software or excel) X Y 1870 3.38 1330 1.16 1760 1.58 1520 2.65 1300 1.98 1520 2.39 1640 2.49 1490 2.81 1300 2.95 1360 1.69 1940 3.49 1730 2.8 1790 2.95 1780 3.8 1730 2.64 1380 2.36 1580 3.1 1900 1.96 1640 3.08 1540 2.24 1350 2.59 1380 2.43 1780 1.95 1700 2.07 1610 2.34 1720 3.59 2070 3.59 1210 2.12 1720 2.48 1510 2.37 1790 2.1 2100 2.55...
Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables?...
Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables? Describe how a scatterplot might differ when viewing correlations that represent positive, negative, and no relationship between predictor and criterion variables. Is it possible to have a relation between variables that systematic (i.e., reliable and predictable) yet not linear?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT