Homework Answers
There is only one predictor variable i.e. X
Number of predictor variables=k=1
Sample size=n=100
Degrees of freedom=n-k-1=100-1-1=98
Correct option is
d) 98
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33. Based on the regression In Y, =a+ß, In X, , where Y is the quantity...
In simple regression analysis the quantity that gives the amount by which...
17. In simple regression analysis the quantity that gives the amount by which Y (dependent variable) changes for a unit change in X (independent variable) is called theA. Coefficient of determinationB. Slope of the regression lineC. Y intercept of the regression lineD. Correlation coefficientE. Standard error18. A simple regression analysis with 20 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.A. 1, 20B. 18,19C. 19, 20D. 1, 19E. 18, 2019. The correlation coefficient may assume...
43. A multiple regression analysis is conducted with 5 independent variables and an intercept on a...
43. A multiple regression analysis is conducted with 5 independent variables and an intercept on a sample of 100 observations. Suppose you want to conduct a hypothesis to test whether the coefficient of the first variable is statistically significant. What will be the degrees of freedom for this test? A.98 B. 99
Q 10: Shown below is a portion of an Excel output for regression analysis relating Y...
Q 10: Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). Degrees of Freedom Regression 205 Residual 53.28 Total 341.33 SS Coefficients Standard Error t Stat p-value Intercept 53.90 6.7105 8.0379 0.001 Volume 4.06 0.8724 4.6505 0.009 the estimated regression equation that relates (Y) to (X)? ce the coefficient of determination between Y and X. e result.
18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
Given the regression line y=-1.32+2.342xy = − 1.32 + 2.342 x , where the independent variable...
Given the regression line y=-1.32+2.342xy = − 1.32 + 2.342 x , where the independent variable is number of dollars ($) invested and the dependent variable is the time (hours) spend working. a) What is the y-intercept of the regression line and interpret what it means? b) If you spent $20 in an investment, how many hours did you work?
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.
mail/u/3/inbox?projector=1 For a multiple regression model Y = B. B.X.+ B.X.-B.X, BX, BX,+ € where is...
mail/u/3/inbox?projector=1 For a multiple regression model Y = B. B.X.+ B.X.-B.X, BX, BX,+ € where is the error term, to represent the relationship between Y and the four X-variables. We got the following results from the data: Source Sum of Squares degrees of freedom mean squares 110.92 Regression Residual Total 215.94 And also given: Variable B. values S(B) Degrees of freedom 0.02 0.056 -0.13 0.021 0.207 -0.05 0.21 0.067 0.001 0.067 Y-intercept is B. = 2.96 d. Find the regression...
are the assumptions behind any multiple regression model? (b). For a multiple regression model Y-Bo + βιΧ. + β2X2 +β3Xs + € where is the error term, to represent the relationship between Y and th...
are the assumptions behind any multiple regression model? (b). For a multiple regression model Y-Bo + βιΧ. + β2X2 +β3Xs + € where is the error term, to represent the relationship between Y and the four X- variables. We got the following results from the data: Source Sum of Squares degrees of freedom mean squares Regression 1009.92 Residual Total 2204.94 34 And also you are given: Variable X1 Σ.tx-xr 123.74 72.98 12.207 -Pr values -11.02 5.13 X2 X3 Y-intercept is...
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
All parts please. You have the results of a simple linear regression based on state-level data...
All parts please.
You have the results of a simple linear regression based on state-level data and the (a) The estimated error variance .04672. What is the sum of the squared least (b) The estimated variance of ba is 0.00098. What is the standard error of b2? What 2.7 District of Columbia, a total of N- 51 observations. squares residuals? is the value of Σ(x- 2? (c) Suppose the dependent variable y the state's mean income (in thousands of dollars)...
43. A multiple regression analysis is conducted with 5 independent variables and an intercept on a sample of 100 observations. Suppose you want to conduct a hypothesis to test whether the coefficient of the first variable is statistically significant. What will be the degrees of freedom for this test? A.98 B. 99
Q 10: Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). Degrees of Freedom Regression 205 Residual 53.28 Total 341.33 SS Coefficients Standard Error t Stat p-value Intercept 53.90 6.7105 8.0379 0.001 Volume 4.06 0.8724 4.6505 0.009 the estimated regression equation that relates (Y) to (X)? ce the coefficient of determination between Y and X. e result.
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
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.
mail/u/3/inbox?projector=1 For a multiple regression model Y = B. B.X.+ B.X.-B.X, BX, BX,+ € where is the error term, to represent the relationship between Y and the four X-variables. We got the following results from the data: Source Sum of Squares degrees of freedom mean squares 110.92 Regression Residual Total 215.94 And also given: Variable B. values S(B) Degrees of freedom 0.02 0.056 -0.13 0.021 0.207 -0.05 0.21 0.067 0.001 0.067 Y-intercept is B. = 2.96 d. Find the regression...
are the assumptions behind any multiple regression model? (b). For a multiple regression model Y-Bo + βιΧ. + β2X2 +β3Xs + € where is the error term, to represent the relationship between Y and the four X- variables. We got the following results from the data: Source Sum of Squares degrees of freedom mean squares Regression 1009.92 Residual Total 2204.94 34 And also you are given: Variable X1 Σ.tx-xr 123.74 72.98 12.207 -Pr values -11.02 5.13 X2 X3 Y-intercept is...
7,10,11
Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
All parts please.
You have the results of a simple linear regression based on state-level data and the (a) The estimated error variance .04672. What is the sum of the squared least (b) The estimated variance of ba is 0.00098. What is the standard error of b2? What 2.7 District of Columbia, a total of N- 51 observations. squares residuals? is the value of Σ(x- 2? (c) Suppose the dependent variable y the state's mean income (in thousands of dollars)...
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