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Question 1 (10 points) Question...

Question 1 (10 points)

Question 1 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 24 26 28 30 32

y| 15 13 20 16 24

Question 1 options:

y = -11.8 + 0.950x

y = 11.8 + 1.05x

y = 11.8 + 0.950x

y = -11.8 + 1.05x

Question 2 (5 points)

Question 2 Unsaved

Find the value of the linear correlation coefficient r.

x| 62 53 64 52 52 54 58

y| 158 176 151 164 164 174 162

Question 2 options:

0.754

-0.081

-0.775

0

Question 3 (5 points)

Question 3 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = 0.762, n = 9

Question 3 options:

Critical values: r = ±0.666, no significant linear correlation

Critical values: r = ±0.666, significant linear correlation

Critical values: r = -0.666, no significant linear correlation

Critical values: r = 0.666, no significant linear correlation

Question 4 (5 points)

Question 4 Unsaved

Find the value of the linear correlation coefficient r.

The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands):

Cost| 9 2 3 4 2 5 9 10

Number| 85 52 55 68 67 86 83 73

Question 4 options:

0.235

0.246

0.708

-0.071

Question 5 (5 points)

Question 5 Unsaved

Find the value of the linear correlation coefficient r.

x| 57 53 59 61 53 56 60

y| 156 164 163 177 159 175 151

Question 5 options:

0.109

-0.078

-0.054

0.214

Question 6 (5 points)

Question 6 Unsaved

Find the best predicted value of y corresponding to the given value of x.

Four pairs of data yield r = 0.942 and the regression equation y = 3x. Also, y-bar equals 12.75. What is the best predicted value of y for x = 2.9?

Question 6 options:

8.7

2.826

0.942

12.75

Question 7 (5 points)

Question 7 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = 0.578, n = 25

Question 7 options:

Critical values: r = ±0.396, no significant linear correlation

Critical values: r = ±0.487, significant linear correlation

Critical values: r = ±0.487, no significant linear correlation

Critical values: r = ±0.396, significant linear correlation

Question 8 (5 points)

Question 8 Unsaved

Find the value of the linear correlation coefficient r.

x| 40.0 10.5 34.0 10.3 14.7

y| 9 8 9 5 10

Question 8 options:

0

0.417

-0.468

0.468

Question 9 (5 points)

Question 9 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 6 8 20 28 36

y| 2 4 13 20 30

Question 9 options:

y= -3.79 + 0.801x

y= -2.79 + 0.950x

y= -2.79 + 0.897x

y = -3.79 + 0.897x

Question 10 (5 points)

Question 10 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = -0.863, n = 5

Question 10 options:

Critical values: r = ±0.950, no significant linear correlation

Critical values: r = 0.950, significant linear correlation

Critical values: r = ±0.878, no significant linear correlation

Critical values: r = ±0.878, significant linear correlation

Question 11 (5 points)

Question 11 Unsaved

Find the value of the linear correlation coefficient r.

The paired data below consist of the temperatures on randomly chosen days and the amount a certain kind of plant grew (in millimeters):

Temp| 62 76 50 51 71 46 44 79

Growth| 36 39 50 13 33 17 6 16

Question 11 options:

0.292

-0.210

0

0.256

Question 12 (5 points)

Question 12 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = -0.857, n = 5

Question 12 options:

Critical values: r = ±0.950, no significant linear correlation

Critical values: r = ±0.878, no significant linear correlation

Critical values: r = ±0.878, significant linear correlation

Critical values: r = 0.950, significant linear correlation

Question 13 (5 points)

Question 13 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 3 5 7 15 16

y| 8 11 7 14 20

Question 13 options:

y = 5.07 + 0.753x

y = 4.07 + 0.753x

y = 4.07 + 0.850x

y = 5.07 + 0.850x

Question 14 (5 points)

Question 14 Unsaved

Find the best predicted value of y corresponding to the given value of x.

The regression equation relating attitude rating (x) an

Question 1 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 24 26 28 30 32

y| 15 13 20 16 24

Question 1 options:

y = -11.8 + 0.950x

y = 11.8 + 1.05x

y = 11.8 + 0.950x

y = -11.8 + 1.05x

Question 2 (5 points)

Question 2 Unsaved

Find the value of the linear correlation coefficient r.

x| 62 53 64 52 52 54 58

y| 158 176 151 164 164 174 162

Question 2 options:

0.754

-0.081

-0.775

0

Question 3 (5 points)

Question 3 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = 0.762, n = 9

Question 3 options:

Critical values: r = ±0.666, no significant linear correlation

Critical values: r = ±0.666, significant linear correlation

Critical values: r = -0.666, no significant linear correlation

Critical values: r = 0.666, no significant linear correlation

Question 4 (5 points)

Question 4 Unsaved

Find the value of the linear correlation coefficient r.

The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands):

Cost| 9 2 3 4 2 5 9 10

Number| 85 52 55 68 67 86 83 73

Question 4 options:

0.235

0.246

0.708

-0.071

Question 5 (5 points)

Question 5 Unsaved

Find the value of the linear correlation coefficient r.

x| 57 53 59 61 53 56 60

y| 156 164 163 177 159 175 151

Question 5 options:

0.109

-0.078

-0.054

0.214

Question 6 (5 points)

Question 6 Unsaved

Find the best predicted value of y corresponding to the given value of x.

Four pairs of data yield r = 0.942 and the regression equation y = 3x. Also, y-bar equals 12.75. What is the best predicted value of y for x = 2.9?

Question 6 options:

8.7

2.826

0.942

12.75

Question 7 (5 points)

Question 7 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = 0.578, n = 25

Question 7 options:

Critical values: r = ±0.396, no significant linear correlation

Critical values: r = ±0.487, significant linear correlation

Critical values: r = ±0.487, no significant linear correlation

Critical values: r = ±0.396, significant linear correlation

Question 8 (5 points)

Question 8 Unsaved

Find the value of the linear correlation coefficient r.

x| 40.0 10.5 34.0 10.3 14.7

y| 9 8 9 5 10

Question 8 options:

0

0.417

-0.468

0.468

Question 9 (5 points)

Question 9 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 6 8 20 28 36

y| 2 4 13 20 30

Question 9 options:

y= -3.79 + 0.801x

y= -2.79 + 0.950x

y= -2.79 + 0.897x

y = -3.79 + 0.897x

Question 10 (5 points)

Question 10 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = -0.863, n = 5

Question 10 options:

Critical values: r = ±0.950, no significant linear correlation

Critical values: r = 0.950, significant linear correlation

Critical values: r = ±0.878, no significant linear correlation

Critical values: r = ±0.878, significant linear correlation

Question 11 (5 points)

Question 11 Unsaved

Find the value of the linear correlation coefficient r.

The paired data below consist of the temperatures on randomly chosen days and the amount a certain kind of plant grew (in millimeters):

Temp| 62 76 50 51 71 46 44 79

Growth| 36 39 50 13 33 17 6 16

Question 11 options:

0.292

-0.210

0

0.256

Question 12 (5 points)

Question 12 Unsaved

Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05.

r = -0.857, n = 5

Question 12 options:

Critical values: r = ±0.950, no significant linear correlation

Critical values: r = ±0.878, no significant linear correlation

Critical values: r = ±0.878, significant linear correlation

Critical values: r = 0.950, significant linear correlation

Question 13 (5 points)

Question 13 Unsaved

Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.

x| 3 5 7 15 16

y| 8 11 7 14 20

Question 13 options:

y = 5.07 + 0.753x

y = 4.07 + 0.753x

y = 4.07 + 0.850x

y = 5.07 + 0.850x

Question 14 (5 points)

Question 14 Unsaved

Find the best predicted value of y corresponding to the given value of x.

The regression equation relating attitude rating (x) an

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