You run a regression to analyze the relationship between the hourly earnings and years of schooling. The data (worksheet DATA26) shows WAGE (hourly earnings) and EDUC (years of schooling). x = EDUC y = WAGE Find the intercept and slope coefficients of the regression. b = b₁ = 26 The following are observed values from the data for years of schooling and hourly earnings: EDUC = 15 20.02 a b с d WAGE= The prediction error for the above number of years of schooling is, -3.78 -5.04 -6.72 -8.95

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Final Exam
WAGE
64.1
23.11
23.14
25.66
75.62
12.13
10.87
11.81
9.53
17.17
9.63
17.51
14.53
12.54
18.48
8.09
19.53
10
54.7
23.04
14.51
8.06
19.7
25.23
20.3
28.06
19.44
11.7
18.89
5.78
54.99
11.44
9.5
14.74
20.08
39.25
12.93
12.1
8.67
27.22
19.44
11.7
EDUC
21
12
18
11
13
12
12
12
13
18
11
12
13
13
12
10
12
13
22
14
17
12
14
16
14
12
15
12
13
14
12
13
12
13
12
17
13
10
12
12
16
12
DATA13
DATA24
DATA26
Transcribed Image Text:Final Exam WAGE 64.1 23.11 23.14 25.66 75.62 12.13 10.87 11.81 9.53 17.17 9.63 17.51 14.53 12.54 18.48 8.09 19.53 10 54.7 23.04 14.51 8.06 19.7 25.23 20.3 28.06 19.44 11.7 18.89 5.78 54.99 11.44 9.5 14.74 20.08 39.25 12.93 12.1 8.67 27.22 19.44 11.7 EDUC 21 12 18 11 13 12 12 12 13 18 11 12 13 13 12 10 12 13 22 14 17 12 14 16 14 12 15 12 13 14 12 13 12 13 12 17 13 10 12 12 16 12 DATA13 DATA24 DATA26
Questions 24 and 25 are related
According to Centers for Disease Control, 35.5 percent of American adults have high low-density lipoprotein (LDL) or bad
cholesterol levels.
You conduct a research about the LDL level in the Indianapolis Metropolitan Area (IMA). You select a random sample adults in
IMA. The sample binary data is shown in worksheet DATA24.
At a 5 percent level of significance, does the sample evidence persuade you that the LDL level in IMA higher than the national
rate?
24
a
b
с
d
25
a
b
с
d
26
You run a regression to analyze the relationship between the hourly earnings and years of schooling.
The data (worksheet DATA26) shows WAGE (hourly earnings) and EDUC (years of schooling).
x = EDUC
y = WAGE
Find the intercept and slope coefficients of the regression.
b
b₁ =
The following are observed values from the data for years of schooling and hourly earnings:
EDUC =
15
WAGE=
20.02
The prediction error for the above number of years of schooling is,
-3.78
-5.04
-6.72
-8.95
a
b
To determine the test statistic, the standard error of the sample proportion is,
0.0161
0.0172
0.0183
0.0194
с
d
The probability value (P-value) for this test is
Based on the P-value,
0.0317 Reject H. Conclude IMA LDL level is higher than the national rate.
0.0422 Reject H. Conclude IMA LDL level is higher than the national rate.
0.0563 Do not reject H. Do not conclude IMA LDL level is higher than the national rate.
0.0750
Reject H. Conclude IMA LDL level is higher than the national rate.
Transcribed Image Text:Questions 24 and 25 are related According to Centers for Disease Control, 35.5 percent of American adults have high low-density lipoprotein (LDL) or bad cholesterol levels. You conduct a research about the LDL level in the Indianapolis Metropolitan Area (IMA). You select a random sample adults in IMA. The sample binary data is shown in worksheet DATA24. At a 5 percent level of significance, does the sample evidence persuade you that the LDL level in IMA higher than the national rate? 24 a b с d 25 a b с d 26 You run a regression to analyze the relationship between the hourly earnings and years of schooling. The data (worksheet DATA26) shows WAGE (hourly earnings) and EDUC (years of schooling). x = EDUC y = WAGE Find the intercept and slope coefficients of the regression. b b₁ = The following are observed values from the data for years of schooling and hourly earnings: EDUC = 15 WAGE= 20.02 The prediction error for the above number of years of schooling is, -3.78 -5.04 -6.72 -8.95 a b To determine the test statistic, the standard error of the sample proportion is, 0.0161 0.0172 0.0183 0.0194 с d The probability value (P-value) for this test is Based on the P-value, 0.0317 Reject H. Conclude IMA LDL level is higher than the national rate. 0.0422 Reject H. Conclude IMA LDL level is higher than the national rate. 0.0563 Do not reject H. Do not conclude IMA LDL level is higher than the national rate. 0.0750 Reject H. Conclude IMA LDL level is higher than the national rate.
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