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I only need help with question C

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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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I only need help with question C

The scatterplot and least squares summary below show the relationship between weight measured in kilograms and height measured in centimeters of 507 physically active individuals. 110 Estate Std. Erroe Eah Iwigle 23 13 00000 50 150 200 Height (on) a) Describe the relationship between height and weight. Select all that apply. The relationship is positive, weak, and nonlinear. There are a few outliers but no points that appear to be influential. There are no outliers and no points that appear to be influential The relationship is positive, moderate-to-strong, and linear. b) Write the equation of the regression line and round to 4 decimal places. y- -105.0113 + 1.0176 - height Interpret the slope and intercept in context. Slope: For each additional centimeter in height, the model predicts the average weight to be 1.0176 additional kilograms. Intercept: People who are 0 centimeters tall are expected to weigh - 105.0113 kilograms. Slope: People who are 0 centimeters tall are expected to weigh 1.0176 kilograms. Intercept: For each additional centimeter in height, the model predicts the average weight to be -105.0113 additional kilograms. Slope: People who weight 0 kilgorams are expected to be 1.0176 centimeters tall. Intercept: For each additional kilogram in weight, the model predicts the average height to be -105.0113 additional centimeters. Slope: For each additional kilogram in weight, the model predicts the average height to be 1.0176 additional centimeters. Intercept: People who weigh 0 kilograms tall are expected to be -105.0113 centimeters tall. C) Do the data provide strong evidence that an increase in height is associated with an increase in weight? State the null and alternative hypotheses, report the p-value, and state your conclusion. The null and altemative hypotheses: Ho: B1 = 0 vs HA:P1 >0 Ho: A0 = 0 vs HA: B0 4 0 Hg: B0 = 0 vs HA: B0 >0 Ho: B1 = 0 vs HA:B1 +0 p-value: 0.05
Transcribed Image Text:The scatterplot and least squares summary below show the relationship between weight measured in kilograms and height measured in centimeters of 507 physically active individuals. 110 Estate Std. Erroe Eah Iwigle 23 13 00000 50 150 200 Height (on) a) Describe the relationship between height and weight. Select all that apply. The relationship is positive, weak, and nonlinear. There are a few outliers but no points that appear to be influential. There are no outliers and no points that appear to be influential The relationship is positive, moderate-to-strong, and linear. b) Write the equation of the regression line and round to 4 decimal places. y- -105.0113 + 1.0176 - height Interpret the slope and intercept in context. Slope: For each additional centimeter in height, the model predicts the average weight to be 1.0176 additional kilograms. Intercept: People who are 0 centimeters tall are expected to weigh - 105.0113 kilograms. Slope: People who are 0 centimeters tall are expected to weigh 1.0176 kilograms. Intercept: For each additional centimeter in height, the model predicts the average weight to be -105.0113 additional kilograms. Slope: People who weight 0 kilgorams are expected to be 1.0176 centimeters tall. Intercept: For each additional kilogram in weight, the model predicts the average height to be -105.0113 additional centimeters. Slope: For each additional kilogram in weight, the model predicts the average height to be 1.0176 additional centimeters. Intercept: People who weigh 0 kilograms tall are expected to be -105.0113 centimeters tall. C) Do the data provide strong evidence that an increase in height is associated with an increase in weight? State the null and alternative hypotheses, report the p-value, and state your conclusion. The null and altemative hypotheses: Ho: B1 = 0 vs HA:P1 >0 Ho: A0 = 0 vs HA: B0 4 0 Hg: B0 = 0 vs HA: B0 >0 Ho: B1 = 0 vs HA:B1 +0 p-value: 0.05
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