Dependent variable: Sentence Months Independent variable: Year of Education After calculating the regression slope of the two variables, explain what the slope refers to by selecting two correct answers (NO PATIAL CREDIT). Form: For one unit increase in [a], [b] is predicted to [c] by the slop. For one unit increase in Sentence Months, For one unit increase in Year of Education, Sentence Months is predicted to increase by the slop Sentence Months is predicted to decrease by the slop Year of Education is predicted to increase by the slop Year of Education is predicted to decrease by the slop
Dependent variable: Sentence Months Independent variable: Year of Education After calculating the regression slope of the two variables, explain what the slope refers to by selecting two correct answers (NO PATIAL CREDIT). Form: For one unit increase in [a], [b] is predicted to [c] by the slop. For one unit increase in Sentence Months, For one unit increase in Year of Education, Sentence Months is predicted to increase by the slop Sentence Months is predicted to decrease by the slop Year of Education is predicted to increase by the slop Year of Education is predicted to decrease by the slop
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
Question 4 - 6 refer to following variables:
- Dependent variable: Sentence Months
- Independent variable: Year of Education
After calculating the regression slope of the two variables, explain what the slope refers to by selecting two correct answers (NO PATIAL CREDIT).
Form: For one unit increase in [a], [b] is predicted to [c] by the slop.
|
For one unit increase in Sentence Months, |
|
For one unit increase in Year of Education, |
|
Sentence Months is predicted to increase by the slop |
|
Sentence Months is predicted to decrease by the slop |
|
Year of Education is predicted to increase by the slop |
|
Year of Education is predicted to decrease by the slop |

Transcribed Image Text:Table 1. Data from random sampling
Monthly Income
($1,000)
$1.8
Туре of
Punishment
Marital Status
Year of Education
Sentence months
2
2
12
$2.3
7
1
16
$2.5
1
10
2
18
$2.3
1
1
22
$3.8
2
14
1
$1.9
1
11
1
15
$3.2
2
14
2
$2.1
3
12
1
$1.9
2
7
1
15
$2.1
2
10
3
$2.1
3
12
10
$2.0
1
8
2
14
$2.6
2
2
13
$2.6
1
1
$2.0
1
7
2
11
$2.6
1
12
3
7
$1.9
2
1
11
$2.5
3
7
2
7
$2.1
1
9
1
11
$2.6
2
7
15
$2.3
1
10
1
3
$2.3
3
10
7
$2.5
1
8
1
$2.4
1
16
$2.7
1
1
16
$2.5
3
10
2
13
$1.9
3
10
3
4
$1.8
1
8
2
16
$2.6
2
11
1
6
$2.1
2
10
2
17
Type of Punishment
1
Probation/community service
2
Jail incarceration
3
Prison incarceration
Marital Status
1
Married
Single
Other
2
3
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