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If the correlation coefficient resulting from a particular regression analysis is 0.90; the coefficient of determination calculated is 0.81.?
Solution-:
TRUE
Because, The coefficient of determination
is a square of linear correlation coefficient
.
i.e. (coefficient of determination) = ( correlation coefficient )^2
True or False ? I need your urgent answer please and sure I will like your...
Question 15 (1 point) As selling price per unit increases so does the BEP True False Question 16 (2 points) The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line? there is insufficient information to answer the question none of the choices are correct 0.850 0.922 -0.850
Question 15 (1 point) As selling price per unit increases so does the BEP True False Question 16 (2 points) The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line? there is insufficient information to answer the question none of the choices are correct 0.850 0.922 -0.850
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Answer both questions please true or false 16. The slope of the simple linear regression equation represents the average change in the value of the dependent variable per unit change in the independent variable (X). True/False 19. When using simple regression analysis, if there is a strong correlation between the independent and dependent variable, then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable.
TRUE or FALSE Please explain why. Regression techniques can be used to obtain the sample correlation coefficient.
ime Left:0:53:27 Mie Tazawa: Attempt 1 Question 15 (1 point) As selling price per unit increases so does the BEP. True False Question 16 (2 points) The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line? there is insufficient information to answer the question none of the choices are correct 0.850 0.922 0.850
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