The regression equation is Ŷ = 30 + 2.56X, the sample size is 14, and the standard error of the slope is 0.97. What is the test statistic to test the significance of the slope?
Multiple Choice
z = −2.560
z = +2.639
t = +2.560
t = +2.639
The regression equation is Ŷ = 30 + 2.56X, the sample size is 14, and the...
The regression equation is Ŷ = 29.29 − 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the critical value to test the significance of the slope at the 0.01 significance level?
The regression equation is Y - 30 + 2.56, the sample size is 12, and the standard error of the slope is 0.97. What is the critical value to test the significance of the slope at the 0.05 significance level? - 2.179 - +2.201 2.228 2 - 11.96
apters 14 & 1/1 Help Save & Exit In the sample regression equation y = bo+byx, What is ? Multiple Choice O The intercept The slope of the equation o oo O The value of y when x 0 The predicted value of y, given a specific x value < Prev 12 of 30 Next >
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. ŷ = 16.6 + 3.5x1 − 2.2x2 + 7.8x3 + 2.8x4 a) Predict y when x1 = 10, x2 = 5, x3 = 1, and x4 = 2. ŷ = 17.9 + 3.6x1 − 2.2x2 + 7.9x3 + 2.8x4 b)Predict y when x1 = 10, x2 = 5, x3 = 1, and x4 = 2.
In a multiple regression analysis, two independent variables are considered, and the sample size is 26. The regression coefficients and the standard errors are as follows. b1 = 1.468 Sb1 = 0.89 b2 = ?1.084 Sb2 = 0.88 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
In a multiple regression analysis, two independent variables are considered, and the sample size is 26. The regression coefficients and the standard errors are as follows. b1 = 1.468 Sb1 = 0.89 b2 = −1.084 Sb2 = 0.88 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
In a multiple regression analysis, two independent variables are considered, and the sample size is 26. The regression coefficients and the standard errors are as follows. b1 = 2.312 Sb1 = 0.81 b2 = −1.950 Sb2 = 0.77 Conduct a test of hypothesis to determine whether either independent variable has a coefficient equal to zero. Would you consider deleting either variable from the regression equation? Use the 0.05 significance level. (Negative amounts should be indicated by a minus sign. Round...
Using 17 observations on each variable, a computer program generated the following multiple regression model: ŷ = 88.2 +7.03x, + 1.69x2 - 9.84x, If the standard errors of the coefficients of the independent variables are, respectively, 4.78, 0.92, and 3.38 can you conclude that the independent variable X, is needed in the regression model? Let B. By, and B, denote the coefficients of the 3 variables in this model, and use a two-sided hypothesis test and significance level of 0.05...
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....
Given are five observations for two variables, r and y. 3 4 5 1 2 7 6 11 14 4 The estimated regression equation is y = 1.2 + 2.4r Compute the mean square error using the following equation (to 3 decimals). a. SSE s2=MSE n- 2 decimals). b. Compute the standard error of the estimate using the following equation (to SSE VMSE Vn-2 SE c. Compute the estimated standard deviation bi using the following equation (to 3 decimals). Sp...