Consider the following data for a dependent variable y and two independent variables, ₁ and 2. Click on the datafile logo to reference the data. DATA file = 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 1 = 45. = = + b. Develop an estimated regression equation relating y to 2. Predict y if x2 = 15. + = + Predict y if x1 = 45 and 2 = 15. = 1 c. Develop an estimated regression equation relating y to ₁ and 2. X2 x1 30 47 25 51 40 51 74 36 59 76 x1 + X2 X2 12 10 17 16 5 19 7 12 13 16 Y 94 108 112 178 94 175 170 117 142 211

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 2SGR
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Consider the following data for a dependent variable y and two independent variables, ₁ and 2.
Click on the datafile logo to reference the data.
DATA file
+
ŷ =
Predict y if x2 = 15.
+
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.
ý =
Predict y if x1 = 45.
ŷ =
b. Develop an estimated regression equation relating y to 2.
x1
ý =
+
Predict y if x₁ = 45 and 2 = 15.
ý =
X2
x1
30
47
25
ŷ =
c. Develop an estimated regression equation relating y to 1 and 2.
x1 +
51
40
51
74
36
59
76
X2
X2
12
10
17
16
5
19
7
12
13
16
Y
94
108
112
178
94
175
170
117
142
211
Transcribed Image Text:Consider the following data for a dependent variable y and two independent variables, ₁ and 2. Click on the datafile logo to reference the data. DATA file + ŷ = Predict y if x2 = 15. + 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. ý = Predict y if x1 = 45. ŷ = b. Develop an estimated regression equation relating y to 2. x1 ý = + Predict y if x₁ = 45 and 2 = 15. ý = X2 x1 30 47 25 ŷ = c. Develop an estimated regression equation relating y to 1 and 2. x1 + 51 40 51 74 36 59 76 X2 X2 12 10 17 16 5 19 7 12 13 16 Y 94 108 112 178 94 175 170 117 142 211
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