df | SS | |
Regression | 1 | |
Residual | 67 | 55.35 |
Total | 68 | 183.44 |
The ANOVA table above is from a simple linear regression analysis relating the percentage alcohol content in diferent brands of beer to the number of kilojoules per 100mL. Determine the coefficient of determination as a percentage, correct to two decimal places.
Coefficient of determination, R^2 =1-( SSR/TSS) = 1-(55.35/183.44) = 0.6983
So, the anova table or the regression is able to capture 69.83 percent of variation through regression
df SS Regression 1 Residual 67 55.35 Total 68 183.44 The ANOVA table above is from a...
df SS Regression 1 Residual 67 59.04 Total 68 268.35 The ANOVA table above is from a simple linear regression analysis relating the percentage alcohol content in diferent brands of beer to the number of kilojoules per 100mL. Determine the coefficient of determination as a percentage, correct to two decimal places.
df Regression Error Total SS 453.26 79.56 48 49 The above ANOVA output is part of the printout relating truck weight to fuel consumption. Calculate the coefficient of determination as a percentage correct to two decimal places.
Simple Linear Regression Problem
QUESTION 3 df Regression Error Total 481.57 48 49 85.72 The above ANOVA output is part of the printout relating truck weight to fuel consumption. Calculate the coefficient of determination as a percentage corect to two decimal places
Given the following ANOVA table: Source Regression Error Total F 24.00 DF 1 12 13 SS 1,050.0 525.0 1,575.0 MS 1,050.00 43.75 a. Determine the coefficient of determination. (Round your answer to 3 decimal places.) Coefficient of determination c. Determine the standard error of estimate. (Round your answer to 2 decimal places.) Standard error of estimate
(4) A regression software output is given below. df ANOVA Source Regression Residual Total 4 SS 227,09 153,07 380,16 MS 56,8 6,1 25 29 Variables Intercept X1 X2 X3 X4 Standard Coefficients Error 68,33 8,9 0,85 0,3 -0,33 0,8 -0,81 0,2 -0,58 0,2 a. How large is the sample size? b. Write the regression equation. Interprete the coefficient of X2. c. Determine and interprete the coefficient of determination. d. Conduct a global test of hypothesis fort he meaning of the...
ANOVA df SS Regression 1 0.72 Residual 10 62.6 Total 11 63.32 Coefficients Std Error Intercept 14.64 146.76 No. of accounts (000) 1.99 5.87 This printout is for data relating the number of ATM withdrawals (in thousands) to the number of accounts (in thousands) at that branch. Predict the number of withdrawals if the number of accounts is 24.528 thousand. State the answer in thousands correct to two decimal places.
Consider the ANOVA table that follows. Analysis of Variance Source DF SS MS F Regression 5 3,931.60 786.32 14.34 Residual Error 50 2,742.06 54.84 Total 55 6,673.66
given the following anova table: source DF SS MS F Regression 1 1,050.0 1,050.0 28.00 error 14 525.0 37.50 total 15 1,575.0 A. determine the coefficient of determination B. assuming a direct relationship between the variables, what is the correlation coefficient? C. determine the standard error of estimate
Refer to the following ANOVA table. Source DF SS MS F Regression 4 34 8.5 5.06 Error 25 42 1.68 Total 29 76 Compute the coefficient of multiple determination. Multiple Choice 0.810 0.16 0.447 0.382
ANOVA DF SS MS Regression 1 0.0994 0.0985 Residual 62 0.1413 0.0025 Total 61 0.2407 Coefficients Standard Error Intercept -0.013 0.0053 S&P 500 Returns 1,2139 0.1878 Looking both at the specification of the model and at the estimated coefficient, how can you interpret the coefficient of S&P 500 Returns