Interpret the table below
|
ANOVAa |
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|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
64603.151 |
4 |
16150.788 |
33.923 |
.000b |
|
Residual |
1153126.037 |
2422 |
476.105 |
|||
|
Total |
1217729.188 |
2426 |
||||
|
a. Dependent Variable: R's socioeconomic index (2010) |
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|
b. Predictors: (Constant), Separated, Widowed, Divorced, Married |
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|
Model Summaryb |
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|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
Durbin-Watson |
|
1 |
.230a |
.053 |
.051 |
21.8198 |
1.783 |
|
a. Predictors: (Constant), Separated, Widowed, Divorced, Married |
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|
b. Dependent Variable: R's socioeconomic index (2010) |
|||||
Interpret the table below ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression...
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...
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Model Summary Adjusted R Square Std. Error of the Estimate Model R R Square 1 .843a .711 .707 7.812812 a. Predictors: (Constant), Fuel efficiency, Horsepower Coefficientsa Standardized Coefficients Beta Sig 2.354 .020 Unstandardized Coefficients Model B Std. Error 1 (Constant) 28.144 11.954 Horsepower 229 .013 Length - 219 Fuel efficiency -.090 .185 a. Dependent Variable: Price in thousands .906 16.989 ,000 .050 - 205 -4.348 .000 -.027 -.488 .627 Model Summary Adjusted R Square Std. Error of the Estimate Model...
Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .884a .782 .775 1134.08895 a. Predictors: (Constant), Tuition2000 Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 1133.148 701.455 1.615 .116 Tuition2000 1.692 .160 .884 10.551 .000 a. Dependent Variable: Tuition2008 What is the regression equation? What is the percent of variation in BMI explained by the regression line? Predict 2008 Tuition for Oregon given their 2000 tuition rate. Predict...
Hello, appreciate if anyone could help me on Multiple Regression
analysis. Thanks!
Question 4 Use the multistep process to interpret the regression result below. This model has been run by a researcher trying to explain user pleasure of browsing Facebook. The independent variables are user perceptions of Perceived Usefulness, Complementary Convenience and Entertainment. Model Summary Change Statistics Std. Error R of the Adjusted R R Sig. F Change Model R df2 df1 Square Change Square Estimate Change Square 392 .097a...
WERE depression /METHOD-ENTER daddrink momdrink DIF. Regression 214 Descriptive Statistics Mean Std. Deviation 4.0514 4.13188 2.5234 3.09428 9673 1.73445 15.2103 6.02870 depression total fsmast momdrink DIF 214 214 214 Pearson Correlation depression total fsmast momdrink -104 .011 1.000 038 momdrink DIF 471 .111 038 1.000 .000 .053 291 DIF Sig. (1-tailed) 064 Correlations depression total fsmast 1.000 227 227 1.000 104 .011 -471 .111 .000 .000 .064 436 .000 .053 214 214 214 214 214 214 214 depression total fsmast...
really need help on this
10. Who likes George Bush in 2012? The model summarized below predicts the Bush feeling thermometer as a function of age (in years, 18-93), education (1-lowest, 16-highest), income (1-poor, 28-rich) and party id (from "1" Strong Democrat to "7 Strong Republican) and also includes dummy variables for gender (female-1) and race (non-white-1). Which two demographic characteristics have the biggest impact on feelings toward Bush? Explain how you reached the conclusion. Are there any surprises in...
just anw the c part thx
Question 1 (100 Marks) The following table is the regression results from the econometric model: LOG(SALES) = B. + B2LOG (PRICE) + BzADVERT + e For a sample of 66 observations. SALES: Monthly Sales of product A ($1000) PRICE: A price Index of product A (SI) ADVERT: Adverting Expenditure on product A (S1000) Dependent Variable: LOGSALES Method: Least Squares Date:03/19/20 Time: 20:04 Included observations: 66 Variable Coefficient Std. Error -Statistic Prob. LOGPRICE ADVERT 5.325153...
8 of 8 Which of the following independent variable is/are not statistically significant? Select all that apply. Age in years at screening Weight (kg) Gender Triglyceride (mg/dL) Direct HDL-cholesterol (mg/dL) Fasting Glucose (mg/dL) Systolic Blood Pressure (1st reading) 20 We wish to add to the model the patients marital status (married, divorced, separated, widowed, single). Describe how we can include this in the model If we want to see whether the effects of Age in years at screening on Total...