Consider the following data for a dependent variable y and two independent variables, x1 and x2. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 8 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating y to ¤1. ŷ = Predict y if #1 - 35. ŷ = b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to #1 and *2. ŷ = 1 + X2 Predict y if æ1 = 35 and x2 = 25.

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Chapter8: Time Series Analysis And_forecasting
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Consider the following data for a dependent variable y and two independent variables, x1 and 12.
30
12
94
47
10
109
25
18
112
51
16
178
40
94
51
19
175
75
171
36
12
118
59
13
143
77
17
212
Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary.
a. Develop an estimated regression equation relating Y to ¤1.
Predict y if æ1 = 35.
b. Develop an estimated regression equation relating y to x2.
ŷ =
+
Predict y if x2 = 25.
ŷ =
c. Develop an estimated regression equation relating y to ¤1 and 2.
Predict y if x1 = 35 and x2 = 25.
ŷ =
Transcribed Image Text:Consider the following data for a dependent variable y and two independent variables, x1 and 12. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating Y to ¤1. Predict y if æ1 = 35. b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to ¤1 and 2. Predict y if x1 = 35 and x2 = 25. ŷ =
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