T 1 cat, the 1 on d etic of al only nit 1 le" he co- 20:29 1 4) and did play? Create a graph that compares players' chances of get- 10 of 26ting into the game for the three status categories. d) Based on this information, is whether or not a player gets into the game independent of his pre-game status? Explain. In In the United States, homes are measured by the total number of square feet of area of all floors of the house. Data from www.census.gov show how the median size of a home in the Northeast changed from 1973 through 2010. Here are the regression results and a plot of the residuals against predicted values. Dependent variable is: NEsqft No Selector R squared=94.8% S = 72.07 with 38 Source Regression Residual Variable Constant Year Residuals(N/Y) Sum of Squares df 3403782 1 186979 36 s.e. of Coefficient Coeff -52410.9 2123 27.2927 1.066 150 100 50 R squared (adjusted) = 94.6% - 2 = 36 degrees of freedom -50 -100 -150 -200 т ● + 1600 Mcan Square 3403782 5193.87 t-ratio -24.7 25.6 2000 Predicted (N/Y) all? 1800 F-ratio 655 prob ≤ 0.0001 <0.0001 + 2200 DO + 2400 a) Write the equation of the regression line. b) Do you think this linear model is appropriate? Explain. c) What does this residual plot tell you about estimates based on this model? d) According to this model how has median home size changed per decade? e) Estimate the actual median home size in 2009.
T 1 cat, the 1 on d etic of al only nit 1 le" he co- 20:29 1 4) and did play? Create a graph that compares players' chances of get- 10 of 26ting into the game for the three status categories. d) Based on this information, is whether or not a player gets into the game independent of his pre-game status? Explain. In In the United States, homes are measured by the total number of square feet of area of all floors of the house. Data from www.census.gov show how the median size of a home in the Northeast changed from 1973 through 2010. Here are the regression results and a plot of the residuals against predicted values. Dependent variable is: NEsqft No Selector R squared=94.8% S = 72.07 with 38 Source Regression Residual Variable Constant Year Residuals(N/Y) Sum of Squares df 3403782 1 186979 36 s.e. of Coefficient Coeff -52410.9 2123 27.2927 1.066 150 100 50 R squared (adjusted) = 94.6% - 2 = 36 degrees of freedom -50 -100 -150 -200 т ● + 1600 Mcan Square 3403782 5193.87 t-ratio -24.7 25.6 2000 Predicted (N/Y) all? 1800 F-ratio 655 prob ≤ 0.0001 <0.0001 + 2200 DO + 2400 a) Write the equation of the regression line. b) Do you think this linear model is appropriate? Explain. c) What does this residual plot tell you about estimates based on this model? d) According to this model how has median home size changed per decade? e) Estimate the actual median home size in 2009.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:er
11
eat,
t the
d
ron
1
nd
etic
1
Š
1-
of
mal
only
mit
I
D-
ble"
The
20:29 1
4)
TV
and did play?
10 of 26 Create a graph that compares players' chances of get-
ting
into the game for the three status categories.
d) Based on this information, is whether or not a player
gets into the game independent of his pre-game
status? Explain.
2.In
2. In the United States, homes are measured by the total
number of square feet of area of all floors of the house.
Data from www.census.gov show how the median size
of a home in the Northeast changed from 1973 through
2010. Here are the regression results and a plot of the
residuals against predicted values.
Dependent variable is: NEsqft
No Selector
R squared =94.8%
S = 72.07 with 38
Source
Regression
Residual
Variable
Constant
Year
Resíduals(N/Y)
Sum of
Squares
3403782
186979
150
100
50
0
-50
-100
s.e. of
Coefficient Coeff
-52410.9 2123
27.2927
1.066
-150-
squared (adjusted) = 94.6%
2 36 degrees of freedom
-200
df
1
36
+
1600
Mcan Square
3403782
5193.87
t-ratio
-24.7
25.6
2000
Predicted (N/Y)
1800
all?
F-ratio
655
prob
≤ 0.0001
<0.0001
2200
+
2400
a) Write the equation of the regression line.
b) Do you think this linear model is appropriate? Explain.
c) What does this residual plot tell you about estimates
based on this model?
d) According to this model how has median home size
changed per decade?
e) Estimate the actual median home size in 2009.
O
O
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