In: Statistics and Probability
2. Using the same data, determine if there is a correlation between smoking and an elevated resting pulse rate. Be sure to support your response with your data analysis.
DATA
Pulse1 The resting pulse of each student
Pulse2 The pulse after running or not running for each student (after treatment)
Ran Whether or not the student ran in place:
Yes or No (treatment)
Smokes Whether or not the student smokes regularly: Yes or No
Gender The gender of the student: M or F
Height The height of the student, in inches Weight The weight of the student, in pounds
Activity The usual activity level of the student: Slight, Moderate, or A lot
Pulse1 Pulse2 Ran
Smokes Gender Height
Weight Activity
64 88 Yes No M 66 140 Moderate
58 70 Yes No
M 72 145 Moderate
62 76 Yes Yes
M 73.5 160 A lot
66 78 Yes Yes
M 73 190 Slight
64 80 Yes No
M 69 155 Moderate
74 84 Yes No
M 73 165 Slight
84 84 Yes No
M 72 150 A lot
68 72 Yes No
M 74 190 Moderate
62 75 Yes No
M 72 195 Moderate
76 118 Yes No
M 71 138 Moderate
90 94 Yes Yes
M 74 160 Slight
80 96 Yes No
M 72 155 Moderate
92 84 Yes Yes
M 70 153 A lot
68 76 Yes No
M 67 145 Moderate
60 76 Yes No
M 71 170 A lot
62 58 Yes No
M 72 175 A lot
66 82 Yes Yes
M 69 175 Moderate
70 72 Yes Yes
M 73 170 A lot
68 76 Yes Yes
M 74 180 Moderate
72 80 Yes No
M 66 135 A lot
70 106 Yes No
M 71 170 Moderate
74 76 Yes No
M 70 157 Moderate
66 102 Yes No
M 70 130 Moderate
70 94 Yes Yes
M 75 185 Moderate
96 140 Yes No
F 61 140 Moderate
62 100 Yes No
F 66 120 Moderate
78 104 Yes Yes
F 68 130 Moderate
82 100 Yes No
F 68 138 Moderate
100 115 Yes Yes
F 63 121 Moderate
68 112 Yes No
F 70 125 Moderate
96 116 Yes No
F 68 116 Moderate
78 118 Yes No
F 69 145 Moderate
88 110 Yes Yes
F 69 150 Moderate
62 98 Yes Yes
F 62.75 112 Moderate
80 128 Yes No
F 68 125 Moderate
62 62 No No
M 74 190 Slight
60 62 No No
M 71 155 Moderate
72 74 No Yes
M 69 170 Moderate
62 66 No No
M 70 155 Moderate
76 76 No No
M 72 215 Moderate
68 66 No Yes
M 67 150 Moderate
54 56 No Yes
M 69 145 Moderate
74 70 No No
M 73 155 A lot
74 74 No No
M 73 155 Moderate
68 68 No No
M 71 150 A lot
72 74 No Yes
M 68 155 A lot
68 64 No No
M 69.5 150 A lot
82 84 No Yes
M 73 180 Moderate
64 62 No No
M 75 160 A lot
58 58 No No
M 66 135 A lot
54 50 No No
M 69 160 Moderate
70 62 No Yes
M 66 130 Moderate
62 68 No Yes
M 73 155 Moderate
76 76 No No
M 74 148 A lot
88 84 No No
M 73.5 155 Moderate
70 70 No No
M 70 150 Moderate
90 88 No Yes
M 67 140 Moderate
78 76 No No
M 72 180 A lot
70 66 No Yes
M 75 190 Moderate
90 90 No No
M 68 145 Slight
92 94 No Yes
M 69 150 Moderate
60 70 No Yes
M 71.5 164 Moderate
72 70 No No
M 71 140 Moderate
68 68 No No
M 72 142 A lot
84 84 No No
M 69 136 Moderate
74 76 No No
M 67 123 Moderate
68 66 No No
M 68 155 Moderate
84 84 No No
F 66 130 Moderate
61 70 No No
F 65.5 120 Moderate
64 60 No No
F 66 130 A lot
94 92 No Yes
F 62 131 Moderate
60 66 No No
F 62 120 Moderate
72 70 No No
F 63 118 Moderate
58 56 No No
F 67 125 Moderate
88 74 No Yes
F 65 135 Moderate
66 72 No No
F 66 125 Moderate
84 80 No No
F 65 118 Slight
62 66 No No
F 65 122 A lot
66 76 No No
F 65 115 Moderate
80 74 No No
F 64 102 Moderate
78 78 No No
F 67 115 Moderate
68 68 No No
F 69 150 Moderate
72 68 No No
F 68 110 Moderate
82 80 No No
F 63 116 Slight
76 76 No Yes
F 62 108 A lot
87 84 No No
F 63 95 A lot
90 92 No Yes
F 64 125 Slight
78 80 No No
F 68 133 Slight
68 68 No No
F 62 110 Moderate
86 84 No No
F 67 150 A lot
76 76 No No
F 61.75 108 C
The hypothesis being tested is:
H0: There is no correlation between smoking and an elevated resting pulse rate
Ha: There is a correlation between smoking and an elevated resting pulse rate
The p-value is 0.4909.
Since the p-value (0.4909) is greater than the significance level (0.05), we fail to reject the null hypothesis.
Therefore, we cannot conclude that there is a correlation between smoking and an elevated resting pulse rate.
r² | 0.005 | |||||
r | 0.073 | |||||
Std. Error | 17.016 | |||||
n | 91 | |||||
k | 1 | |||||
Dep. Var. | Pulse2 | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 138.5130 | 1 | 138.5130 | 0.48 | .4909 | |
Residual | 25,768.0584 | 89 | 289.5287 | |||
Total | 25,906.5714 | 90 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=89) | p-value | 95% lower | 95% upper |
Intercept | 79.4844 | |||||
Smokes | 2.7008 | 3.9048 | 0.692 | .4909 | -5.0579 | 10.4595 |