You run a regression analysis on a bivariate set of data (n = 49). You obtain the regressionequation%3D0.663x +– 46.8460.01). You want to predictwhat value (on average) for the explanatory variable will give you a value of 110 on the responsewith a correlation coefficient of r =0.621 (which is significant at a =variable.What is the predicted explanatory value?X =(Report answer accurate to one decimal place.)

Given that Sample size (n) = 49 Correlation coefficient (r) = -0. 621 Level of significant = 0.01 Y…

Answered: You run a regression analysis on a…

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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You run a regression analysis on two numerical variables x and y, where x is the explanatory variable and Y is the response. With the help of statistical software, you obtain the regression equation y = -2.859x + 59.865 with a correlation coefficient of r = -0.964. You want to predict what value (on average) for the response variable will be obtained from a value of 190 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 = 63). With = 61.1 and y = 27.2, you obtain the regression equation y = 3.192x - 22.251 with a correlation coefficient of r = 0.694. 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.)
What does the square of the linear correlation coefficient measure (rxr)?
Suppose that you run a correlation and find the correlation coefficient is -0.281 and the regression equation is y = 27.68 2.2x. The mean for the data values was 4.9, and the mean for the Y data values was 17. AT Test for the slope of the regression line is performed, and the p-value is greater than the level of significance of 0.05. Use the appropriate method to predict the y value when x is 2.3.
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 correlation between X and Y is -.27, and the regression equation is Ŷ = - 0.49X + 9.27 before the data are standardised. A: What is the correlation after the data are standardised? B: What would be the standardised regression equation? A: .27, B: ?̂y = .27?x A: -.49, B: ?̂y = - .49?x + 9.27 A: -.27, B: ?̂y = - .27?x A: -.49, B: ?̂y = - .49?x
The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b₁x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Studying 2 3 Midterm Grades 71 72 Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Answer How to enter your answer (opens in new window) 4 5 6 73 77 86 Tables Table Copy Data Keypad Keyboard Shortcuts
You run a regression analysis on a bivariate set of data (n = 110). You obtain the regression equation y = – 3.546x 4.393 0.248 (which is significant at a = 0.01). You want to predict with a correlation coefficient of r = - what value (on average) for the explanatory variable will give you a value of 100 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)
49
You run a regression analysis on a bivariate set of data ( n = 39). With regression equation a 24.8 and j = 43.4, you obtain the y = 2.058x with a correlation coefficient of r = 0.251. You want to 27.113 predict what value (on average) for the response variable will be obtained from a value of 180 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1^x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age Bone Density35 35043 34053 33954 32155 310 Step 3 of 6 : Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.
The average midterm score in a large statistics class was 60 with an SD of 5. The average final score in the same class was 80 with an SD of 15. 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 70 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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