ZuoTi.Pro
Question

Step 1

SUMMARY OUTPUT Regression Statistics Multiple R 0.31179522 0.097216259 R Square Adjusted R Square0.08877902 Standard Error 15

For each of the independent variables contained in the regression model in Step 1, test their statistical significance. In testing statistical significance of a regression coefficient, you have to justify your choice of one or two tail test. (PLEASE SHOW ALL WORKING)

math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

3 2 22 Age Reletionship Le o kirei, (Yes 父6- pico nce-respetHon_ indivisual For-testing oy (Gendes Hoelキo (tuoo tailed) PvalFor Hoi べ穴0,0厂 P-value 0 25 we may accept to at 5.1.1.0s. tale, 23112 P-value 0,02 to 6 Hi puio Caurey rgeet Ho cut p:/o 1. OS- we ma Br isinificend c is | 4 not 1 Significant

0 0
Add a comment
Know the answer?
Add Answer to:
Step 1 For each of the independent variables contained in the regression model in Step 1, test their statistical signif...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • IN THE BELOW REGRESSION MODEL, FULLY INTERPRET THE REGRESSION (SLOPE) COEFFICIENTS AND COMMENT ON THEIR STATISTICAL...

    IN THE BELOW REGRESSION MODEL, FULLY INTERPRET THE REGRESSION (SLOPE) COEFFICIENTS AND COMMENT ON THEIR STATISTICAL SIGNIFICANCE. IN DISCUSSING STATISTICAL SIGNIFICANCE OF A REGRESSION COEFFICIENT, YOU HAVE TO JUSTIFY YOUR CHOICE OF A ONE OR TWO TAIL TEST. SUMMARY OUTPUT Regression Statistics Multiple R 0.48457333 R Square 0.23481131 Adjusted R Square 0.21365402 Standard Error 1.18083028 Observations 224 ANOVA df SS MS F Significance F Regression 6 92.8506974 15.4751162 11.0983638 8.6676E-11 Residual 217 302.576153 1.39436015 Total 223 395.42685 Coefficients Standard Error...

  • What is the coefficient? What is the standard error? What is the z-statistic? Is the coefficient...

    What is the coefficient? What is the standard error? What is the z-statistic? Is the coefficient sufficiently different from zero? How about one? Explain. SUMMARY OUTPUT Regression Statistics Multiple R 0.58175248 R Square 0.33843594 Adjusted R S 0.31393357 Standard Err 1.1991813 Observations 29 ANOVA df SS MS Significance F 0.000932269 Regression 1 19.86268888 19.86268888 13.8123745 Residual 38.82696629 27 1.438035789 Total 58.68965517 28 Coefficients Standard Error P-value t Stat Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -0.0202247 0.223805467 -0.090367404...

  • Hi I was wondering if i could have some help with some distribution questions. 1. show...

    Hi I was wondering if i could have some help with some distribution questions. 1. show where zero and one fall on a normal distribution based on thedata. 2.is the coefficient sufficiently different than zero? explain 3. is the coefficient sufficiently different than one? explain. Regression Statistics Multiple R 0.806174983 0.649918103 R Square Adjusted R Square Standard Error Observations 0.636952107 13.57635621 29 ANOVA Significance F E SS MS df 9238.877183 9238.877 50.12481 1.30123E-07 Regression Residual 4976.571093 184.3174 27 14215.44828 Total...

  • 5. Summary of regression between a dependent variable y and two independent variables X, and x2...

    5. Summary of regression between a dependent variable y and two independent variables X, and x2 is as follows. Please complete the table: SUMMARY OUTPUT Regression Statistics Multiple R 0.9620 R Square R2E? Adjusted R Square 0.9043 Standard Error 12.7096 Observations 10 ANOVA F Significance F F=? Overall p-value=? Regression Residual Total 2 df of SSE MS MSR=? MSE? 14052.1550 1130.7450 SSTE? MSE? 9 Coefficients -18.3683 Standard Error 17.9715 t Stat -1.0221 Intercept ty=? 2.0102 4.7378 0.2471 0.9484 P-value 0.3408...

  • 1.Based on the table above, how to intepret this regression analysis? 2. When we need to...

    1.Based on the table above, how to intepret this regression analysis? 2. When we need to look at the adjusted r2 and why? 3. How to conduct the hypothesis test? 0 Regression Statistics 1 Multiple R 2 R Square 3 Adjusted RS 0.853658537 0,97530483 0.951219512 4 Standard Err 0.191273014 5 Observation 6 7 ANOVA Significance F 0.220863052 df SS MS 0.713414634 0.356707 9 Regression 0 Residual 1 Total 2. 9.75 1 0.036585366 0.036585 0.75 2 Lower 95 % 3 Coefficients...

  • Calculate the 95% prediction interval of y when x=5 using the 2000 pairs Mean of x...

    Calculate the 95% prediction interval of y when x=5 using the 2000 pairs Mean of x = 4.51 Regression Statistics Multiple R 0.012848 R Square 0.000165 Adjusted R Square -0.00034 Standard Error 2.869737 Observations 2000 ANOVA df SS MS F Significance F Regression 1 2.716416 2.716416 0.329847 0.565814 Residual 1998 16454.31 8.235388 Total 1999 16457.02 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 4.509054 0.119572 37.70997 1.7E-235 4.274555 4.743552574 4.274555 4.743553 X 0.012884...

  • Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file...

    Use Excel to develop a regression model for the Hospital Database (using the “Excel Databases.xls” file on Blackboard) to predict the number of Personnel by the number of Births. What can you conclude from the study? SUMMARY OUTPUT Regression Statistics Multiple R 0.697463374 R Square 0.486455158 Adjusted R Square 0.483861497 Standard Error 590.2581194 Observations 200 ANOVA df SS MS F Significance F Regression 1 65345181.8 65345181.8 187.5554252 1.79694E-30 Residual 198 68984120.2 348404.6475 Total 199 134329302 Coefficients Standard Error t Stat...

  • We are doing regression analysis for business analytics class and I am having a hard time reading...

    We are doing regression analysis for business analytics class and I am having a hard time reading this data. Please help. SUMMARY OUTPUT Regression Statistics Multiple R 0.999964 R Square 0.999928 Adjusted R Square 0.9999248 Standard Error 267.074107 Observations 48 ANOVA df SS MS F Significance F Regression 2 44576676715 2.23E+10 312474.2 6.1672E-94 Residual 45 3209786.045 71328.58 Total 47 44579886501 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -42159057 121894.4727 -345.865 1.04E-78 -42404564.6...

  • Dep.= % WRK Indep.= % MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R...

    Dep.= % WRK Indep.= % MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Significance df SS MS F F Regression 102.1488 148.9539 Residual Total 12.0000 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept % MGT 0.4543 SE CI CI PI PI Predicted Predicted Lower Upper Lower Upper x0 Value Value 95% 95% 95% 95% 67.0000 67.8474 65.8779 69.8169 72.0000 70.1189 68.2003 72.0375 76.0000 71.9361 69.7884 74.0838 Dep.= % MGT...

  • Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.72 0.51 0.38 99.45...

    Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.72 0.51 0.38 99.45 6 Anova df SS MS F Significance F 0.11 1 41497.60 41497.60 4.20 Regression Residual 4 39561.23 9890.31 Total 5 81058.83 t Stat P-value Coefficients Standard Error 1423.60 564.95 2.52 0.07 Intercept X Variable 1 Lower 95% Upper 95% -144.96 2992.16 -0.11 0.72 Lower 95.0% Upper 95.0% -144.96 2992.16 -0.11 0.72 0.31 0.15 2.05 0.11 Assume that Craig's Fresh and Hot Pancake Restaurant does...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT