Describe a research effort where you could use a Multiple Regression analysis. It could be something related to work productivity, or perhaps a student’s performance in school.
Describe a research effort where you could use a Multiple Regression analysis. It could be something...
You conduct a standard multiple regression (SMR) analysis with two predictors (X1 and X2), which account for 25% of the variability in the criterion (Y). However, the shared variance between X1 and X2 accounts for 0% of the variance in the DV. If both IVs are entered together in a standard multiple regression, the coefficient for X1 will be compared to the coefficient that X1 would produce if X1 was entered in Block 1 of a hierarchical multiple regression (HMR),...
You conduct a standard multiple regression (SMR) analysis with two predictors (X1 and X2), which account for 30% of the variability in the criterion (Y). However, the shared variance between X1 and X2 accounts for 20% of the variance in the DV. If both IVs are entered together in a standard multiple regression, the coefficient for X1 will be __________ compared to the coefficient that X1 would produce if X1 was entered in Block 1 of a hierarchical multiple regression (HMR), with...
Consider the multiple regression model shown next between the dependent variable Y and four independent variables X1, X2, X3, and X4, which result in the following function: Y = 33 + 8X1 – 6X2 + 16X3 + 18X4 For this multiple regression model, there were 35 observations: SSR= 1,400 and SSE = 600. Assume a 0.01 significance level. What is the predictions for Y if: X1 = 1, X2 = 2, X3 = 3, X4 = 0
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...
You may need to use the appropriate technology to answer this question. In a regression analysis involving 27 observations, the following estimated regression equation was developed. ŷ = 25.2 + 5.5x1 For this estimated regression equation SST = 1,550 and SSE = 550. (a) At α = 0.05, test whether x1 is significant. State the null and alternative hypotheses. H0: β1 = 0 Ha: β1 ≠ 0H0: β0 = 0 Ha: β0 ≠ 0 H0: β1 ≠ 0 Ha: β1...
Applying Simple Linear Regression to Your favorite Data. Many dependent variables in business serve as the subjects of regression modeling efforts. We list such variables here: Rate of return of a stock Annual unemployment rate Grade point average of an accounting student Gross domestic product of a country Salary cap space available for your favorite NFL team Choose one of these dependent variables, or choose some other dependent variable, for which you want to construct a prediction model. There may...
Consider a multiple regression model of the dependent variable y on independent variables x1, X2, X3, and x4: Using data with n 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: y0.35 0.58x1 + 0.45x2-0.25x3 - 0.10x4 He would like to conduct significance tests for a multiple regression relationship. He uses the F test to determine whether a significant relationship exists between the dependent variable and He uses the t...
As a statistical consultant, you have been asked to develop a linear model which shall be given to first year executive MBA students. Variable Name Description X1 Gender Male or Female X2 GMAT Score Score on GMAT Test X3 College Degree Previously Earned Bachelors, Masters, or PhD Y Income Annual Income in Thousand Dollars Where 1=Male and 2= Female for X1 and B = Bachelors Degree, M=Master’s Degree, and P= PhD for X3. Given this data, recode the variables...
4. Testing for significance Aa Aa Consider a multiple regression model of the dependent variable y on independent variables x1, x2, X3, and x4: Using data with n = 60 observations for each of the variables, a student obtains the following estimated regression equation for the model given: 0.04 + 0.28X1 + 0.84X2-0.06x3 + 0.14x4 y She would like to conduct significance tests for a multiple regression relationship. She uses the F test to determine whether a significant relationship exists...
ek-tin Based on the following regression output, what proportion the total variation in Y is explained by X? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA di SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 Residual 8 704.7117 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. 0.917214 o b.9.385572...