What would I need to type in in R programming to get similar results to the one
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section: Chapter Questions
Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...
Related questions
Question
What would I need to type in in R programming to get similar results to the one listed in the example results
![Hours (y) = monthly labor hours required
Xray(x₁) = monthly X-ray exposures
BedDays (x₂) = monthly occupied bed days
Length(13) = average lengh of patients' stay (in days)
The main objective of the regression analysis is to help the navy evaluate the performance of
its hospitals in terms of how many labor hours are used relative to how many labor hours are
needed. The navy selected hospitals 1 through 17 from hospitals that it thought were efficiently
run hospitals to evaluate the efficiency of questionable hospitals. Consider relating y to x₁, I2,
and 23 by using the model.
y = Bo + B₁1+ B₂x2 + 3x3 + €
Print and submit R code and output of your regression analysis. Results should look similar
to figure 1.
Coefficients:
Estimate Std. Error t value Pr (>|t|)
(Intercept) 1523.38924 786.89772
0.0749.
1.936
2.637 0.0205 *
9.305 4.12e-07 ***
-320.95083 153.19222 -2.095 0.0563.
0.05299
0.97848
0.02009
0.10515
xray
BedDays
Length
signif. codes: 0 ***** 0.001 **** 0.01 **' 0.05.¹0.1¹ 1
Residual standard error: 614.8 on 13 degrees of freedom
Multiple R-squared: 0.9901,
Adjusted R-squared: 0.9878
F-statistic: 432 on 3 and 13 DF, p-value: 2.894e-13](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe168234c-8641-43ba-b22b-28f74f97e6ae%2F5addb8d4-95d6-4299-89a5-01abd7ff7488%2Fmafaa88_processed.png&w=3840&q=75)
Transcribed Image Text:Hours (y) = monthly labor hours required
Xray(x₁) = monthly X-ray exposures
BedDays (x₂) = monthly occupied bed days
Length(13) = average lengh of patients' stay (in days)
The main objective of the regression analysis is to help the navy evaluate the performance of
its hospitals in terms of how many labor hours are used relative to how many labor hours are
needed. The navy selected hospitals 1 through 17 from hospitals that it thought were efficiently
run hospitals to evaluate the efficiency of questionable hospitals. Consider relating y to x₁, I2,
and 23 by using the model.
y = Bo + B₁1+ B₂x2 + 3x3 + €
Print and submit R code and output of your regression analysis. Results should look similar
to figure 1.
Coefficients:
Estimate Std. Error t value Pr (>|t|)
(Intercept) 1523.38924 786.89772
0.0749.
1.936
2.637 0.0205 *
9.305 4.12e-07 ***
-320.95083 153.19222 -2.095 0.0563.
0.05299
0.97848
0.02009
0.10515
xray
BedDays
Length
signif. codes: 0 ***** 0.001 **** 0.01 **' 0.05.¹0.1¹ 1
Residual standard error: 614.8 on 13 degrees of freedom
Multiple R-squared: 0.9901,
Adjusted R-squared: 0.9878
F-statistic: 432 on 3 and 13 DF, p-value: 2.894e-13
![1
2
WN
3
4
5
6
7
∞
8
9
10
11
12
13
14
15
16
17
18
19
A
B
Xray BedDays
472.92
2463
2048
1339.75
3940
620.25
6505 568.33
1497.60
1365.83
5723
11520
5779
1687.00
5969
1639.92
8461
2872.33
20106
3655.08
13313
2912.00
10771
3921.00
15543
3865.67
36194
7684.10
34703
12446.33
39204 14098.40
86533 15524.00
D
Length
Hours
4.45
566.52
6.92
696.82
4.28
1033.15
3.90
1603.62
5.50 1611.37
4.60
1613.27
5.62 1854.17
2160.55
2305.58
3503.93
5.15
6.18
6.15
5.88
4.88
5.50
7.00 10343.81
10.78
11732.17
3571.89
3741.40
4026.52
7.05 15414.94
6.35 18854.45](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe168234c-8641-43ba-b22b-28f74f97e6ae%2F5addb8d4-95d6-4299-89a5-01abd7ff7488%2Fu8csi_processed.png&w=3840&q=75)
Transcribed Image Text:1
2
WN
3
4
5
6
7
∞
8
9
10
11
12
13
14
15
16
17
18
19
A
B
Xray BedDays
472.92
2463
2048
1339.75
3940
620.25
6505 568.33
1497.60
1365.83
5723
11520
5779
1687.00
5969
1639.92
8461
2872.33
20106
3655.08
13313
2912.00
10771
3921.00
15543
3865.67
36194
7684.10
34703
12446.33
39204 14098.40
86533 15524.00
D
Length
Hours
4.45
566.52
6.92
696.82
4.28
1033.15
3.90
1603.62
5.50 1611.37
4.60
1613.27
5.62 1854.17
2160.55
2305.58
3503.93
5.15
6.18
6.15
5.88
4.88
5.50
7.00 10343.81
10.78
11732.17
3571.89
3741.40
4026.52
7.05 15414.94
6.35 18854.45
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