6 Answer : Conscience is significant in predicting dependent variable
Explanantion:
Ho = b1= b2 = 0
H1 = Atleast bi is not equal to zero i=1,2 i.e. atleast one variable has significant impact in predicting dependent variable
For JobStat, Ho = b1 = 0,
Since p - value (0.781) > 0.05. Hence, we do not reject Ho and conclude that Ho = b1 = 0 is true and JobStat is not significant in predicting dependent variable
For Conscience, Ho = 2 = 0,
Since p - value (0.000) < 0.05. Hence, we reject Ho and conclude that Ho = b2 = 0 is true and Conscience is significant in predicting dependent variable
7 Answer:
a = 11.657
b1 = 0.070
b2 = -2.237
Y = 11.657 + 0.070 * JobStat - 2.237 * Conscience
8 Answer:
Coefficients of regression indicate per unit change in Y for per unit change in Xi ; i=1,2
Conscientiousness increases by 1 standard deviation, then CWBs decreases by -2.237 units
Job statisfaction increases by 1 standard deviation, then CWBs increases by 0.070 units
Now consider the following output: Coefficients Unstandardized Coefficients B Std. Error Standardized Coefficients Beta Model t...
QUESTION 3 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 50.016 1.409 35.508 .000 Total Mastery -.786 .067 -.526 -11.719 .000 Total Optimism -.217 .060 -.164 -3.623 .000 age 3 groups -.712 .275 -.098 -2.588 .010 a. Dependent Variable: Total perceived stress Write a regression line equation referencing the SPSS output provided. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. QUESTION 4 Explain the criteria required to assume causality. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. ………………………………………………………………………………………………………………..
Coefficientsa Standardized Coefficients Beta Unstandardized Coefficients Model Std. Error Be Consant00 56 174 6.204 1.095 863 469 2.695 169 593 680 120 ACTMathScore1.051 649 279 GPA a. Dependent Variable: ACTcompositescore 24. Write out the regression equation in the form of - a + math Xmath +bGPA XGPA (You can use the equation editor or write it out by hand) a. The a is the value on the "Coefficients" table in the (Constant) row and B Unstandardized Coefficients column. This is...
Lab Activity 6: Multiple Regression We are looking at the research question: Will positive affectivity (PA) and social support (ASOCS) predict academic burnout (ABO) levels? Previous research has shown that people who have more positive affect tend to experience burnout less. Research has also shown that social support can help prevent burnout. Previous research has not found any relationship between positive affectivity and social support. | Descriptive Statistics Mean Std. Deviation N 3.3154 .92736 227 ABO PA 3.356 .6729 227...
only part II is needed Regardless of your answer to (a), you come up with the following multiple regression model. b. Coefficients: Estimate Std. Error t value Pr>lt (Intercept) 72.2285 1.2697 56.89 2e-16 X2 X3 Residual standard error: 7.25 on 191 degrees of freedom Multiple R-squared: 0.494, Adjusted R-squared: 0.489 F-statistic: 93.3 on 2 and 191 DF, p-value: <2e-16 0.4590 0.0524-8.76 1.1e-15 0.4146 0.1290 3.21 0.0015** I) What percentage of the total variation in Life Expectancy can you explain with...