Given are five observations for two variables, x and y.
xi 1 2 3 4 5
yi 3 8 6 12 14



| S.No | X | Y | (x-x̅)2 | (y-y̅)2 | (x-x̅)(y-y̅) |
| 1 | 1 | 3 | 4.0000 | 31.3600 | 11.2000 |
| 2 | 2 | 8 | 1.0000 | 0.3600 | 0.6000 |
| 3 | 3 | 6 | 0.0000 | 6.7600 | 0.0000 |
| 4 | 4 | 12 | 1.0000 | 11.5600 | 3.4000 |
| 5 | 5 | 14 | 4.0000 | 29.1600 | 10.8000 |
| Total | 15 | 43 | 10.0000 | 79.2000 | 26.0000 |
| Mean | 3.000 | 8.600 | SSX | SSY | SXY |
| SSE =Syy-(Sxy)2/Sxx= | 11.600 | |
a)
| error Variance σ2 = | s2 =SSE/(n-2) | = | 3.867 | |
b)
| std error σ = | se =√s2 | = | 1.966 | |
c)
| estimated standard error of slope =se(β1) = | s/√Sxx= | 0.622 | ||
d)
| test stat t = | β1/se(β1)= | = | 4.18 |
| p value: | = | 0.0249 |
e)
| Source | DF | SS | MS | F |
| regression | 1 | 67.6 | 67.600 | 17.48 |
| Residual error | 3 | 11.6 | 3.867 | |
| Total | 4 | 79.2 |
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 8 6 12 14
Given are five observations for two variables, x and
y.
xi
3
12
6
20
14
yi
50
45
55
15
15
(d) Develop the estimated regression equation by computing the
values of b0 and b1 using b1 =
Σ(xi − x)(yi − y)
Σ(xi − x)2
and b0 = y − b1x.
ŷ =
(e) Use the estimated regression equation to predict the value
of y when x = 9.
Observation 1 2 3 4 5 6 7 8...
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 8 5 10 14 (d) Develop the estimated regression equation by computing the values of b0 and b1 using b1 = Σ(xi − x)(yi − y) Σ(xi − x)2 and b0 = y − b1x. ŷ = (e) Use the estimated regression equation to predict the value of y when x = 2.
Given are five observations for two variables, x and y. xi 1 2 3 4 5 yi 3 7 5 11 14
Given are five observations for two variables, x and y. xi Yi 1 4 2 7 3 8 4 5 11 15 The estimated regression equation for these data is y = 1.2 + 2.6x. a. Compute SSE, SST, and SSR using the following equations (to 1 decimal). SSD = 2(y - ý) SST = 2(y; - 5)2 SSR = 2() - 12 SSE SST SSR b. Compute the coefficient of determination 2 (to 3 decimals). Does this least squares...
Given are five observations for two variables, x and
y.
xi
1
2
3
4
5
yi
3
8
4
10
15
(a)
Develop a scatter diagram for these data.
1 2 3 4 5 g 2 N to Go 4 1 2 0 1 3 4 5 6 1 2 3 (b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative linear relationship between x...
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Given are five observations for two variables, x and y. xi 4 8 14 16 18 yi 58 52 45 24 11 The estimated regression equation for these data is y= 75.06 - 3.09x. A. Compute SSE, SST, and SSR using the following equations (to 2 decimal). B.Compute the coefficient of determination r2 (to 3 decimals). The least squares line provided an (good/bad) fit; ---------% of the variability in y has been explained by the estimated regression equation (to 1...
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Given are five observations for two variables, x and y.xi 1 2 3 4 5yi 3 7 5 11 14a. Develop the estimated regression equation by computing the values of b0 and b1.(To save you a lot of arithmetic, use the following facts: Σ(xi − ̄x)(yi − ̄y) = 26 and Σ(xi − ̄x)2= 10.)b. Use the estimated regression equation to predict the value of y when x= 4.
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