In a simple linear regression based on 22 observations, it is found that SSE= 2,658 and...
In a simple linear regression based on 22 observations, it is found that SSE = 2,852 and SST = 10,171. a. Calculate s2ese2 and se. (Round your answers to 2 decimal places.) Se2 se b. Calculate the coefficient of determination R2. (Round your answer to 4 decimal places.)
In a simple linear regression based on 59 observations, it is found that SSE- 2,795 and SST-27,278. a. Calculate se and se. (Round your answers to 2 decimal places.) Se b. Calculate the coefficient of determination R2. (Round your answer to 4 decimal places.) Coefficient of Determination
DO NOT ANSWER IF YOU ARE UNSKILLED IN THIS AREA! Exercise 14-43 Algo In a simple linear regression based on 58 observations, it is found that SSE = 2,622 and SST = 26,815. a. Calculate s2ese2 and se. (Round your answers to 2 decimal places.) s2e se b. Calculate the coefficient of determination R2. (Round your answer to 4 decimal places.) Coefficient of Determination
In a simple linear regression based on 30 observations, it is found that b1 = 3.74 and se(b1) = 1.38. Consider the hypotheses: [You may find it useful to reference the t table.] H0: β1 = 0 and HA: β1 ≠ 0. a. Calculate the value of the test statistic. (Round your answer to 3 decimal places.)
The following estimated regression equation based on 10 observations was presented. ŷ = 29.1220 + 0.5306x1 + 0.4880x2 The values of SST and SSR are 6,714.125 and 6,219.375, respectively. (a) Find SSE. SSE = (b) Compute R2. (Round your answer to three decimal places.) R2 = (c) Compute Ra2. (Round your answer to three decimal places.) Ra2 =
The following regression equation was computed from a sample of 25 observations: Y' = 26-6x SSE was found to be 130, and SS total 420. (Round the MS-values to 3 decimal places.) di Source Regression Error 51.31 Total a. Determine the standard error of estimate. (Round the final answer to 4 decimal places.) se = 0 5. Determine the coefficient of determination. (Round the final answer to 2 decimal places.) 2 = . Determine the correlation coefficient. (Caution: Watch the...
In a simple linear regression based on 25 observations, it is found that b1 = 0.51 and se(b1) = 0.28. Consider the hypotheses: [You may find it useful to reference the t table.] H0: β1 ≤ 0 and HA: β1 > 0. a-1. Calculate the value of the test statistic.
The following estimated regression equation based on 30 observations was presented. ŷ = 17.6 + 3.8x1 − 2.3x2 + 7.6x3 + 2.7x4 The values of SST and SSR are 1,807 and 1,758, respectively. (a) Compute R2. (Round your answer to three decimal places.) R2 = (b) Compute Ra2. (Round your answer to three decimal places.) Ra2 = part 2: the following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ŷ = 27 + 15x1 +...
In a simple linear regression based on 27 observations, the following information is provided: yˆy^ = −6.53 + 1.22x and se = 2.95. Also, se(yˆ0)se(y^0) evaluated at x = 27 is 1.14. [You may find it useful to reference the t table.] a. Construct the 95% confidence interval for E(y) if x = 27. (Round intermediate calculations to at least 4 decimal places, "tα/2,df" value to 3 decimal places, and final answers to 2 decimal places.) b. Construct the 95%...
In a multiple regression analysis involving 8 independent variables and 165 observations, SST = 650 and SSE = 247. The coefficient of determination is equal to what value? (Report your answer as a proportion to 2 decimal places, using conventional rounding rules)