single or multiple linear practice problems
TRANSCRIPT
Practice Problems
Differentiating between relationship problems that use the following methods:
Single-Linear Regression
Multi-Linear Regression
Problem #1
The director of a health clinic has asked you to determine how well age predicts a patient’s systolic blood pressure.
Advance the slide to see the options
Patients
Blood Pressure
Readings Age
1 75 11
2 85 27
3 85 31
4 95 31
5 95 43
6 97 25
7 97 48
8 97 52
9 102 65
10 102 59
11 102 59
12 102 70
13 110 62
14 115 46
15 115 66
16 120 77
17 120 52
18 125 79
Advance the slide to see the answer
The director of a health clinic has asked you to determine how well age predicts a patient’s systolic blood pressure.
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood Pressure
Readings Age
1 75 11
2 85 27
3 85 31
4 95 31
5 95 43
6 97 25
7 97 48
8 97 52
9 102 65
10 102 59
11 102 59
12 102 70
13 110 62
14 115 46
15 115 66
16 120 77
17 120 52
18 125 79
The director of a health clinic has asked you to determine how well age predicts a patient’s systolic blood pressure.
Advance the slide to see the explanation
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood Pressure
Readings Age
1 75 11
2 85 27
3 85 31
4 95 31
5 95 43
6 97 25
7 97 48
8 97 52
9 102 65
10 102 59
11 102 59
12 102 70
13 110 62
14 115 46
15 115 66
16 120 77
17 120 52
18 125 79
Advance the slide to the next problem
Because only one predictor variable (age) is predicting a
predicted variable (BPR)
Explanation
The director of a health clinic has asked you to determine how well age predicts a patient’s systolic blood pressure.
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood Pressure
Readings Age
1 75 11
2 85 27
3 85 31
4 95 31
5 95 43
6 97 25
7 97 48
8 97 52
9 102 65
10 102 59
11 102 59
12 102 70
13 110 62
14 115 46
15 115 66
16 120 77
17 120 52
18 125 79
Problem #2
The director of a health clinic has asked you to determine how well age and gender predict a patient’s systolic blood pressure.
Advance the slide to see the options
Patients
Blood
Pressure
Readings Age
Gender1 = Male
2 = Female
1 75 11 1
2 85 27 2
3 85 31 1
4 95 31 2
5 95 43 1
6 97 25 2
7 97 48 2
8 97 52 2
9 102 65 1
10 102 59 1
11 102 59 1
12 102 70 2
13 110 62 1
14 115 46 2
15 115 66 1
16 120 77 1
17 120 52 2
18 125 79 1
Advance the slide to see the answer
The director of a health clinic has asked you to determine how well age and gender predict a patient’s systolic blood pressure.
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood
Pressure
Readings Age
Gender1 = Male
2 = Female
1 75 11 1
2 85 27 2
3 85 31 1
4 95 31 2
5 95 43 1
6 97 25 2
7 97 48 2
8 97 52 2
9 102 65 1
10 102 59 1
11 102 59 1
12 102 70 2
13 110 62 1
14 115 46 2
15 115 66 1
16 120 77 1
17 120 52 2
18 125 79 1
The director of a health clinic has asked you to determine how well age and gender predict a patient’s systolic blood pressure.
Advance the slide to see the explanation
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood
Pressure
Readings Age
Gender1 = Male
2 = Female
1 75 11 1
2 85 27 2
3 85 31 1
4 95 31 2
5 95 43 1
6 97 25 2
7 97 48 2
8 97 52 1
9 102 65 1
10 102 59 1
11 102 59 1
12 102 70 2
13 110 62 1
14 115 46 2
15 115 66 1
16 120 77 1
17 120 52 2
18 125 79 1
The End
Explanation
The director of a health clinic has asked you to determine how well age and gender predict a patient’s systolic blood pressure.
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood
Pressure
Readings Age
Gender1 = Male
2 = Female
1 75 11 1
2 85 27 2
3 85 31 1
4 95 31 2
5 95 43 1
6 97 25 2
7 97 48 2
8 97 52 1
9 102 65 1
10 102 59 1
11 102 59 1
12 102 70 2
13 110 62 1
14 115 46 2
15 115 66 1
16 120 77 1
17 120 52 2
18 125 79 1
Because two predictor variables (age & gender) are predicting a
predicted variable (BPR)
The End
Explanation
The director of a health clinic has asked you to determine how well age and gender predict a patient’s systolic blood pressure.
Which is it?
Single-Linear Regression
Multiple-Linear Regression
Patients
Blood
Pressure
Readings Age
Gender1 = Male
2 = Female
1 75 11 1
2 85 27 2
3 85 31 1
4 95 31 2
5 95 43 1
6 97 25 2
7 97 48 2
8 97 52 1
9 102 65 1
10 102 59 1
11 102 59 1
12 102 70 2
13 110 62 1
14 115 46 2
15 115 66 1
16 120 77 1
17 120 52 2
18 125 79 1
Because two predictor variables (age & gender) are predicting a
predicted variable (BPR)