Consider the following set of ordered pairs. Complete parts a through c.
x 5 3 1 1 1
y 10 7 0 1 −2
a. Calculate the slope and y-intercept for these data.
y = () +() x (Round to four decimal places as needed.)
b. Calculate the total sum of squares (SST).
SST = (Round to one decimal place as needed.)
c. Partition the sum of squares into the SSR and SSE.
SSE =(Round to three decimal places as needed.)
SSR = (Round to three decimal places as needed.)
The statistical software output for this problem is :
Simple linear regression results:
Dependent Variable: y
Independent Variable: x
y = -2.78125 + 2.71875 x
Sample size: 5
R (correlation coefficient) = 0.95935137
R-sq = 0.92035506
Estimate of error standard deviation: 1.652019
Analysis of variance table for regression model:
Source | DF | SS | MS | F-stat | P-value |
---|---|---|---|---|---|
Model | 1 | 94.6125 | 94.6125 | 34.667176 | 0.0098 |
Error | 3 | 8.1875 | 2.7291667 | ||
Total | 4 | 102.8 |
(a)
y = -2.7813 + 2.7188 x
(b)
SST = 102.8
(c)
SSE = 8.188
SSR = 94.613
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