Run a regression analysis on the following bivariate set of data with y as the response variable. y 50.1 62.4 40.8 68.5 35.8 45.8 73 61.6 57.8 65.4 48.9 29.2 50.1 57.5 23.8 96.6 26.8 81.5 76.7 40.6 62.9 53.5 57.8 60.1 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (if the answer is 0.84471, then it would be 84.5%..you woulo enter 84.5 without the percent symbol.) Based on the data, calculate the regression line (each value to three decimal places) y = Predict what value (on average) for the response variable will be obtained from a value of 35.8 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.)
Run a regression analysis on the following bivariate set of data with y as the response variable. y 50.1 62.4 40.8 68.5 35.8 45.8 73 61.6 57.8 65.4 48.9 29.2 50.1 57.5 23.8 96.6 26.8 81.5 76.7 40.6 62.9 53.5 57.8 60.1 Find the correlation coefficient and report it accurate to three decimal places. What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. (if the answer is 0.84471, then it would be 84.5%..you woulo enter 84.5 without the percent symbol.) Based on the data, calculate the regression line (each value to three decimal places) y = Predict what value (on average) for the response variable will be obtained from a value of 35.8 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.)
Chapter4: Linear Functions
Section: Chapter Questions
Problem 40RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina...
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