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Illtro/lnstructions What is the n0W relationship tions between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. 22 (2/4) Time 31 11 33 32 43 50 62 58 Pounds 138 93 128 137 127 136 152 137 a. Find the correlation coefficient: r- b. The null and alternative hypotheses for correlation are: Q4 12/4] Q5 12/4] e: 9.2/18 t Version Round to 2 decimal places Hi The p-value is: (Round to four decimal places) c. Use a level of significance of α = 0.05 to state the conclusion of the hypothesis test in the context ofthe study. O There is statistically significant evidence to conclude that there is a corelation between the time women OThere is statistically insignificant evidence to conclude that there is a correlation between the time women OThere is statistically insignificant evidence to conclude that a woman who spends more time on the phone spend on the phone and their weight. Thus, the regression line is useful. spend on the phone and their weight. Thus, the use of the regression line is not appropriate. will weigh more than a woman who spends less time on the phone There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.

Illtro/lnstructions What is the n0W relationship tions between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. 22 (2/4) Time 31 11 33 32 43 50 62 58 Pounds 138 93 128 137 127 136 152 137 a. Find the correlation coefficient: r- b. The null and alternative hypotheses for correlation are: Q4 12/4] Q5 12/4] e: 9.2/18 t Version Round to 2 decimal places Hi The p-value is: (Round to four decimal places) c. Use a level of significance of α = 0.05 to state the conclusion of the hypothesis test in the context ofthe study. O There is statistically significant evidence to conclude that there is a corelation between the time women OThere is statistically insignificant evidence to conclude that there is a correlation between the time women OThere is statistically insignificant evidence to conclude that a woman who spends more time on the phone spend on the phone and their weight. Thus, the regression line is useful. spend on the phone and their weight. Thus, the use of the regression line is not appropriate. will weigh more than a woman who spends less time on the phone There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Illtro/lnstructions What is the n0W relationship tions between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. 22 (2/4) Time 31 11 33 32 43 50 62 58 Pounds 138 93 128 137 127 136 152 137 a. Find the correlation coefficient: r- b. The null and alternative hypotheses for correlation are: Q4 12/4] Q5 12/4] e: 9.2/18 t Version Round to 2 decimal places Hi The p-value is: (Round to four decimal places) c. Use a level of significance of α = 0.05 to state the conclusion of the hypothesis test in the context ofthe study. O There is statistically significant evidence to conclude that there is a corelation between the time women OThere is statistically insignificant evidence to conclude that there is a correlation between the time women OThere is statistically insignificant evidence to conclude that a woman who spends more time on the phone spend on the phone and their weight. Thus, the regression line is useful. spend on the phone and their weight. Thus, the use of the regression line is not appropriate. will weigh more than a woman who spends less time on the phone There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.
Transcribed Image Text:Illtro/lnstructions What is the n0W relationship tions between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. 22 (2/4) Time 31 11 33 32 43 50 62 58 Pounds 138 93 128 137 127 136 152 137 a. Find the correlation coefficient: r- b. The null and alternative hypotheses for correlation are: Q4 12/4] Q5 12/4] e: 9.2/18 t Version Round to 2 decimal places Hi The p-value is: (Round to four decimal places) c. Use a level of significance of α = 0.05 to state the conclusion of the hypothesis test in the context ofthe study. O There is statistically significant evidence to conclude that there is a corelation between the time women OThere is statistically insignificant evidence to conclude that there is a correlation between the time women OThere is statistically insignificant evidence to conclude that a woman who spends more time on the phone spend on the phone and their weight. Thus, the regression line is useful. spend on the phone and their weight. Thus, the use of the regression line is not appropriate. will weigh more than a woman who spends less time on the phone There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.
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