The statistical significance of the Dposition coefficient is .....
MODEL 2 - Coefficientsa |
||||||
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
11.956 |
4.500 |
2.657 |
.015 |
|
Weight |
.022 |
.010 |
.384 |
2.135 |
.045 |
|
Time |
-2.278 |
.929 |
-.440 |
-2.452 |
.023 |
|
Dposition |
-.732 |
.289 |
-.417 |
-2.531 |
.019 |
|
a. Dependent Variable: Rating |
99%
95%
No statistical significance
90%
Answer
p value corresponding to Dposition variable is 0.019
significance level of 99% level is 0.01. We can see that the p value is greater than 0.01 significance level. So, 99% is not the statistical significance for Dposition variable
significance level of 95% level is 0.05. We can see that the p value is less than 0.05 significance level. So, 95% is the statistical significance for Dposition variable
Therefore, option B (95%) is correct answer
The statistical significance of the Dposition coefficient is ..... MODEL 2 - Coefficientsa Model Unstandardized Coefficients...
Problem 5-5. The statistical significance of the Oposition coefficient is MODEL 2 - Coefficients Unstandardized Coefficients Standardized Coefficients Model Std. Error Beta (Constant) 11.956 4.500 2.657 015 Weight .022 010 384 2.135 .045 Time -2.278 .929 -440 -2.452 .023 Dposition .732 .289 -417 -2.531 .019 a. Dependent Variable: Rating No statistical significance 95% 99% O 90%
The statistical significance of the weight coefficient is ............... MODEL - Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 12.488 5.017 2.489 .021 Weight .029 .011 .495 2.542 .019 Time -2.835 1.007 -.548 -2.814 .010 a. Dependent Variable: Rating
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. ……………………………………………………………………………………………………………….. ……………………………………………………………………………………………………………….. ………………………………………………………………………………………………………………..
Derive the expected regression function and interpret the results Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. 99.0% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound 1 (Constant) 373.301 9530.379 .039 .969 -29226.211 29972.814 After_Tax_Profits .420 .115 .739 3.641 .004 .062 .778 a. Dependent Variable: Cash_Dividends
Problem 8-1.Ten computer monitors were examined to help personal computer owners select the best monitor for his or her computer system. The sharpness rating is a percentage with 100% being great sharpness. Pixels is in hundreds. Size is either a "regular" 32 inch or "large" 42-inch screen. Code a large screen as Monitorsize = 1, and a regular screen as Monitorsize = 0. The price of the monitor is in dollars. The table below is the Coefficients table from SPSS...
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...
With each hybrid automobile model, prepare a summary that does the following: 2. Interprets the directional of the relationship of each statistically significant independent variable with respect to the preference for the hybrid model concerned. relative importance of each of the stalisticu idependent variables. 4. Assesses the strength of the statistically significant independent variables as they join to predict the preferences for the hybrid model concerned. Coefficients Model Unstandardized Coefficients Sig Standardized Coefficients t Std. Error Beta 6.981 13.795 .000...
With each hybrid automobile model, prepare a summary that does the following: 2. Interprets the directional of the relationship of each statistically significant independent variable with respect to the preference for the hybrid model concerned. Independent variables as they join to predict the preferences for the hybrid model concerned Coefficients Model Unstandardized Coefficients Standardized Sig Coefficients B Std. Error Beta 6.981 506 13.795 .000 3.694E-007 000 3.383 101 ,001 -1.315 098 -13.442 -.531 000 -.339 115 -.086 -2.953 ,003 5...
Models 1-7 are below Part C: Select one model you would use to explain reading ability.,Then use that model to find the 95% confidence interval estimate for the mean reading ability 95% prediction interval for reading ability When age 6, mem span 4.2 and ig 91. Regression [DataSetll C:\Usersn.little5773 Downloads\child data.sav Variables Entered/Removed Variables Entered Variables Removed Method Model Enter age a. Dependent Variable: reading ability b. All requested variables entered. Model Summary Adjusted R Square Std. Error o R...
15.2 Spssx output With each hybrid automobile model, prepare a summary that does the following: 2. Interprets the directional of the relationship of each statistically significant independent variable with respect to the preference for the hybrid model concerned. Coefficients Sig Model Unstandardized Coefficients t Standardized Coefficients Std. Error Beta 000 13.795 6.981 506 3.694E-007 3.383 001 101 .000 -1.315 .098 .531 -13.442 .000 339 -115 .086 -2.953 .003 5 -.026 .004 -260 -6.220 .000 -219 042 -291 -5.207 000 3.073E-006...