Suppose in a regression analysis to predict house price ('S000) using the number of rooms and distance (km) from city's core, the following data were collected. House Price Distance 10 Rooms 1199 4 647 4 62 1266 6. 17 960 10 558 66 433 4 88 980 32 894 4 32 780 61 724 81 1084 24 Genezate a multiple regression output for the data. a. Find SSE and SSR rounded to the nearest whole number. SSE - SSR = Report the required values in parts b., c., and d. accurate to 3 decimal places: b. R - c. The standard error of estimate is d. The regression coefficients:

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter5: A Survey Of Other Common Functions
Section5.6: Higher-degree Polynomials And Rational Functions
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Suppose in a regression analysis to predict house price ('S000) using the number of rooms and
distance (km) from city's core, the following data were collected.
House Price
Rooms
Distance
1199
4
10
647
4
62
1266
6
17
960
5
10
558
66
433
4
88
980
32
894
4
32
780
5
61
724
81
1084
24
Generate a multiple regression output for the data.
a. Find SSE and SSR rounded to the nearest whole number.
SSE
SSR
Report the required values in parts b., c., and d. accurate to 3 decimal places:
b.
R =
c. The standard error of estimate is
d. The regression coefficients:
bị
b2
%3D
%3D
Transcribed Image Text:Suppose in a regression analysis to predict house price ('S000) using the number of rooms and distance (km) from city's core, the following data were collected. House Price Rooms Distance 1199 4 10 647 4 62 1266 6 17 960 5 10 558 66 433 4 88 980 32 894 4 32 780 5 61 724 81 1084 24 Generate a multiple regression output for the data. a. Find SSE and SSR rounded to the nearest whole number. SSE SSR Report the required values in parts b., c., and d. accurate to 3 decimal places: b. R = c. The standard error of estimate is d. The regression coefficients: bị b2 %3D %3D
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