Run a regression analysis on the following bivariate set of data with y as the response variable.Xy62.4447.577.259.41672.429.958.1160.784.631.712.5 159.673.540.669.594.767.649.440.2104.434.3136Find the correlation coefficient and report it accurate to three decimal places.r =What proportion of the variation in y can be explained by the variation in the values of x? Reportanswer as a percentage accurate to one decimal place. (If the answer is 0.84471, then it would be84.5%...you would enter 84.5 without the percent symbol.)r² =%Based on the data, calculate the regression line (each value to three decimal places)y =X+Predict what value (on average) for the response variable will be obtained from a value of 85.8 asthe explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linearcorrelation.What is the predicted response value? (Report answer accurate to one decimal place.)y =

The bivariate set of data with y as the response variable.

Answered: Run a regression analysis on the…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Run a regression analysis on the following bivariate set of data with y as the response variable. x y 40.5 -15.7 30.8 -40 38.8 35.8 57.2 37.5 48.2 -8.2 70 82.4 70.5 73.3 87.1 103.9 43.1 23 39.5 31.9 44.1 -36.6 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of -45.9 on the response variable.What is the predicted explanatory value?
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