Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression 1 12323.56 12323.56 90.0481 Residual 8 1094.842 136.8550 Total 9 13418.4 Estimate the value of Ŷ when X = 4.
From the given information, regression equation will be:
Ŷ = -12.8094 + 2.1794x
Hence for x = 4:
Ŷ = -12.8094 + 2.1794*4
Ŷ = -4.0918
Using the following information: Coefficients Intercept -12.8094 Independent variable 2.1794 ANOVA df SS MS F Regression...
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
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
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.
ANOVA df SS Regression 1 882 Residual 20 4000 Total 21 4882 Coefficients Standard Error t Stat Intercept 5.00 3.56 Variable x 6.30 3.00 Use the ANOVA table that was provided in question 7 and Perform an F test and determine whether x and y are related. Use α = .05 Answer Options: Since the test statistic F = 3.45 < 4.35 ,Fail to reject HO Since the test statistic F = .45< 3.45, Fail to reject HO Since the...
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
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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
7,10,11 Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.917214 R Square 0.841282 Adjusted R Square 0.821442 Standard Error 9.385572 Observations 10 ANOVA df SS MS Significance F 1 Regression 3735.3060 3735.30600 42.40379 0.000186 8 Residual 704.7117 88.08896 9 Total 4440.0170 Coefficients Standard Error t Stat P-value Lower 95% Intercept 31.623780 10.442970 3.028236 0.016353 7.542233 X Variable 1.131661 0.173786 6.511819 0.000186 0.730910 o a. 9; = 7.542233+0.7309 Xli o b....
Given the following ANOVA table: Source DF SS MS F Regression 1 1,500.0 1,500.00 24.00 Error 12 750.0 62.50 Total 13 2,250.0 Determine the coefficient of determination. (Round your answer to 3 decimal places.) Assuming a direct relationship between the variables, what is the correlation coefficient? (Round your answer to 2 decimal places.) Determine the standard error of estimate. (Round your answer to 2 decimal places.)
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