Question
  1. (10 points) The following regression output is available. Notice that some of the values are missing.

   Predictor         Coef      SE Coef      T          P

   Constant           5.932      2.558       2.320    0.068

     x                    0.511                       6.083    0.001

Analysis of Variance

Source                         DF          SS        MS            F        P

Regression                            648.72    648.72    57.20   0.001

Residual Error                       56.70      

Total                            16      705.43

Based on the information given, what is the value of sum of squares of the X’s (SSxx)?

  1. 7626.92      
  2. 23.142
  3. 535.591
  4. None of the above

1. (10 points) Consider the following partially completed computer printout for a regression analysis Based on the informatio

0 0
Add a comment Improve this question Transcribed image text
Answer #1

pearl Page Page 0.511 2 A Given that f = 0.511 We know that speg = 8 ² ² ( x - x) 2 = Speg = 648.72 =) Sšar = 3. (x-) ? = 648

Add a comment
Know the answer?
Add Answer to:
(10 points) The following regression output is available. Notice that some of the values are missing....
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

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
  • Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef...

    Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq| Analysis of Variance SS MS Source DF F Regression 1 34.90 Residual Error 13 Total 14 11.3240 Calculate the MSE Consider the following partial computer output from a simple linear regression analysis. Predictor Coef SE Coef T P 4.8615 9.35 0.5201 0.000 Constant -0.34655 0.05866 Independent Var S = .4862R-Sq|...

  • Consider the following partial computer output from a simple linear regression analysis. P Predictor Coef SE...

    Consider the following partial computer output from a simple linear regression analysis. P Predictor Coef SE Coef T Constant 9.35 0.000 4.8615 0.5201 0.05866 Independent Var -0.34655 S=4862R-Sq. Analysis of Variance MS DF SS F Source 1 34.90 Regression 13 Residual Error 14 11.3240 Total What is the predicted value of ywhen x 9.00?

  • CALCULATOR The following is a partial computer output of a multiple regression analysis of a data set containing 20...

    CALCULATOR The following is a partial computer output of a multiple regression analysis of a data set containing 20 sets of observations on the dependent variabl The regression equation is SALEPRIC 1470+0.8145 LANDVAL + 0.8204 IMPROVAL +13.529 AREA Predictor Coef SE Coef T P Constant 1470 5746 0.26 0.801 LANDVAL 0.8145 0.5122 1.59 0.131 IMPROVAL 0.8204 0.2112 3.88 0.0001 AREA 13.529 6.586 2.05 0.057 S 79190.48 R-Sq 89.7% R-Sq(ad) =87.8% Analysis of Variance Source DF SS MS Regression 3 2926558914...

  • Regression Analysis: Score2 versus Score1 The regression equation is Score2 = 1.12 + 0.218 Score1 Predictor...

    Regression Analysis: Score2 versus Score1 The regression equation is Score2 = 1.12 + 0.218 Score1 Predictor Constant Score: Coef SE Coef T P 1.1177 0.1093 10.23 0.000 0.21767 0.01740 12.51 0.000 S = 0.127419 R-Sq = 95.7% R-Sq(adj) = 95.1% Analysis of Variance Source DF SS Regression 1 2.5419 Residual Error 7 0.1136 Total 8 2.6556 MS 2.5419 0.0162 F 156.56 P 0.000 At 1% significance, does the output indicate there a linear relationship between Score 1 and Score 2?...

  • Based on the anova presented perform the overall f test and state if the regression is...

    Based on the anova presented perform the overall f test and state if the regression is significant a=.05 1) Please find the partially completed multiple regression analysis below, which explores the relationship betwen the sales (in hundreds) and the independent variables price(in dollars), promotional expenditure(in hundreds of dollars) and the quality score (0-100) for a very popular Cbristmas season toy The regression equation is Sales -3432-0.23 Price + 2.7" Promotional exp + 0.22 Quality Predictor Constant Price Promotional exp 2.704...

  • are.com nces The computer output shown below is part of the regression analysis to predict the...

    are.com nces The computer output shown below is part of the regression analysis to predict the height of the gold medal winning high jump in the Olympics based on year and gender (coded as males=0, females-1). Predictor Coef SE Coef т р Constant -9.0965 0.4708 -19.32 0.000 Year 0.0057426 0.0002409 23.84 0.000 Gender -0.34761 0.01537 0.000 Source DF SS MS F р Regression 2 2. 0735 1.0368 0.000 Error 42 0.1015 0.0024 2.1751 Total 44 What is the standard deviation...

  • Q 10: Shown below is a portion of an Excel output for regression analysis relating Y...

    Q 10: Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). Degrees of Freedom Regression 205 Residual 53.28 Total 341.33 SS Coefficients Standard Error t Stat p-value Intercept 53.90 6.7105 8.0379 0.001 Volume 4.06 0.8724 4.6505 0.009 the estimated regression equation that relates (Y) to (X)? ce the coefficient of determination between Y and X. e result.

  • A multiple regression analysis produced the following tables: Predictor Intercept xi x2 Coefficients 624.5369 8.569122 4.736515...

    A multiple regression analysis produced the following tables: Predictor Intercept xi x2 Coefficients 624.5369 8.569122 4.736515 Standard Error 78.49712 1.652255 0.699194 t statistic 7.956176 5.186319 6.774248 p value 6.88E-06 0.000301 3.06E-05 Source Regression Residual Total df 2 11 13 SS 1660914 156637.5 1817552 MS 830457.1 14239.77 F 58.31956 p value 1.4E-06 For x1= 30 and x2 = 100, the predicted value of y is 753.77 O 1,173.00 O 1,355.26 615.13 6153.13

  • Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76...

    Here is partial output from a simple regression analysis. The regression equation is EAFE = 4.76 + 0.663 S&P F MS 3445.9 9.50 0.005 Analysis of Variance Source DF SS Regression 1 3445.9 Residual Error Total 29 13598.3 Calculate the values of the following: The regression standard error, se (Round to 3 decimal places) The coefficient of determination, r(Round to 4 decimal places) The correlation coefficient, r (Round to 4 decimal places) se =

  • The following Regression function has been developed to check the relationship between the dependent variable y...

    The following Regression function has been developed to check the relationship between the dependent variable y and the independent variable ?1 . Consider the following Minitab output and answer the questions. Regression Equation ?̂ = ? . ? ? + ? . ? ? x1 a) Please fill out the Coefficients table appropriately. b) Please fill out the ANOVA table appropriately. c) Suppose that variables ?2 ??? ?3 are added to the above model and the following regression analysis is...

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