Correlation and Regression Assignment K Renegar

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Mathematics

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Jan 9, 2024

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Kelsey Renegar Dr. Susan Worth MAT-152 5 December 2023 Correlation and Regression Assignment A sample of 10 adult men gave the following data on their heights and weights. Height (inches) X 62 62 63 65 66 67 68 68 70 72 Weight (pounds) Y 12 0 140 130 150 142 130 135 175 149 168 (a) Generate the scatter plot of this data and graph the regression line in your plot. Include a picture of this graph and explain your impression of how well the line fits the data. (b) State the equation of the regression line. y =-78.37708129+3.352595495x (c) Find r (correlation coefficient). Interpret the value of r in the context of this problem. r = .65598 The correlation coefficient or the r shows just how close the two variables are related. WIth r as close to one, You have an indication of a positive and stong linear correlation between the heights of men along with the weights of men.
(d) Find the coefficient of determination, r 2 . Explain what it means in the context of this problem. r ^ 2 = 430131 Finding the coefficient of determination, around 43% of the data shown in the line of best fit That also means that around 57% of the data would have to be unexplained by line of best fit. (e) Provide examples of other lurking variables that may have an effect on weight besides height. A example of other lurking variables that could have an effect on weight other than the obvious being height could be Unhealthy lifestyle and eating habits along with health issues in some cases. (f) Use a 1% level of significance to test the claim that ρ > 0. Show all steps of your hypothesis test. Using a 1% level of significance to test my claim of p > 0 would have to do with height and weight of the given adult man example. (g) Predict the weight of a man whose height is 60 inches. y =-78.37708129+3.352595495(60) The weight of a man whose height is 60 inches would be around 122.8 pounds. (h) Find a 90% confidence interval for men of height 60 inches (use your answer from part g). Include your interpretation of the confidence interval. Show your formula for E with all important values included. 90% confidence interval for men of height 60 inches y =-78.37708129+3.352595495(60) lurking variables that could have an effect on weight other than the obvious being height could be Unhealthy lifestyle and eating habits along with health issues in some cases. (i) Predict the height of a man whose weight is 160 pounds. 160 = - 78.37708129 + 3.352 3.352595495 A mans height should be around 71.1 inches if his weight wa s 160 pounds
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