You run a regression analysis on a bivariate set of data (n = 65). With = 33.3 and j = 34.4, you obtain the regression equation - 4.369x + 60.481 - with a correlation coefficient of r = 0.016. You - want to predict what value (on average) for the response variable will be obtained from a value of 10 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)

You run a regression analysis on a bivariate set of data (n = 65). With = 33.3 and j = 34.4, you obtain the regression equation - 4.369x + 60.481 - with a correlation coefficient of r = 0.016. You - want to predict what value (on average) for the response variable will be obtained from a value of 10 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)

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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After performing a statistical regression on a set of data the value of the correlation coefficient r was -0.2041. What does that imply about the data?
The average midterm score in a large statistics class was 65 with an SD of 15. The average final score in the same class was 70 with an SD of 10. The correlation coefficient between midterm and final scores was r-0.6. Using the regression line, we predict the final score of a student with a midterm score of 80 to be but this prediction is likely to be off by about
The average midterm score in a large statistics class was 65 with an SD of 15. The average final score in the same class was 70 with an SD of 10. The correlation coefficient between midterm and final scores was r=0.6. Using the regression line, we predict the final score of a student with a midterm score of 80 to be , but this prediction is likely to be off by about . Fill in the blanks, rounding each answer to one decimal point.
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