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if the independent variable(s) can explain the variation in the dependent variables(s)
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Question 2 1 pts The goal of regression is to see O if the independent variable(s)...
i need help O Achange in profitability Question 12 1 pts In a linear regression, the...
i need help
O Achange in profitability Question 12 1 pts In a linear regression, the regression coefficients on the independent variables represent the marginal impact of a change in the independent variable upon the dependent variable, holding the values of all other independent variables constant () the marginal impact of a change in the independent variable upon the other independent variables, holding the value of the dependent variable constant O the marginal impact of a change in the independent...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant....
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%
Question 1 1 pts The equation of the regression line between two variables x (independent variable)...
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A....
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
Question 7 2 pts Multiple regression is the process of using several independent variables to predict...
Question 7 2 pts Multiple regression is the process of using several independent variables to predict a number of dependent variables. O True False
Question 15 1 pts In a simple regression analysis (where y is a dependent and x...
Question 15 1 pts In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is zero, then O the slope must be negative. o the slope can be positive, or zero, or negative. O there is no relationship between x and y. o the slope must be positive.
QUESTION 1 The Simple Linear Regression is fit or constructed to predict a dependent variable. True...
QUESTION 1 The Simple Linear Regression is fit or constructed to predict a dependent variable. True False QUESTION 2 The Coefficient of Determination is used to explain in what percent (%) the independent variable is affecting the dependent variable. True False
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
O a nominal variable with three or more values O a new regression coefficient 0.5 pts...
O a nominal variable with three or more values O a new regression coefficient 0.5 pts DQuestion 12 The variance inflation factor (VIF) is used to select or remove independent variables to reduce the effects of multicollinearity in a multiple regression equation O True e False D Question 13 0.5 pts If the hypothesis Ho: B1- 0 is rejected, then the sample regression coefficient b1 indicates the change in the predicted value for a unit
please answer all question (2-5) thanks Question 2 1 pts As the number of hours a...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
i need help
O Achange in profitability Question 12 1 pts In a linear regression, the regression coefficients on the independent variables represent the marginal impact of a change in the independent variable upon the dependent variable, holding the values of all other independent variables constant () the marginal impact of a change in the independent variable upon the other independent variables, holding the value of the dependent variable constant O the marginal impact of a change in the independent...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%
Question 1 1 pts The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by ý = -3x -- 2; and the correlation coefficient iss =-.95. The possible x- values range from 1 to 10. Based on the given r, which of the following conclusions may be made? X and Y are very weakly correlated. and y are moderately correlated, and y tends to increase as x is increased. X and y...
In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model...
Question 7 2 pts Multiple regression is the process of using several independent variables to predict a number of dependent variables. O True False
Question 15 1 pts In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is zero, then O the slope must be negative. o the slope can be positive, or zero, or negative. O there is no relationship between x and y. o the slope must be positive.
O a nominal variable with three or more values O a new regression coefficient 0.5 pts DQuestion 12 The variance inflation factor (VIF) is used to select or remove independent variables to reduce the effects of multicollinearity in a multiple regression equation O True e False D Question 13 0.5 pts If the hypothesis Ho: B1- 0 is rejected, then the sample regression coefficient b1 indicates the change in the predicted value for a unit
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
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