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.
The statistical software output for this problem is :
b0 = 0.8
b1 = 2.4
= 0.8 + 2.4 x
Predicted value = 5.6
Given are five observations for two variables, x and y. xi 1 2 3 4 5...
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...
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