A health specialist gathered the data in the table to see if pulse rates can be explained by exercise,smoking,and age.For exercise,he assigns 1 for yes,2 for no.For smoking,he assigns 1 for yes,2 for no. $$\begin{array} { c c c c }
\text { Pulse } & \text { Exercise } & \text { Smoke } & \text { Age } \
\hline 97 & 2 & 2 & 19 \
88 & 1 & 2 & 28 \
69 & 1 & 2 & 19 \
67 & 1 & 2 & 20 \
83 & 1 & 2 & 18 \
77 & 1 & 2 & 17 \
66 & 2 & 2 & 18 \
78 & 2 & 2 & 19 \
73 & 1 & 1 & 17 \
67 & 1 & 1 & 18 \
55 & 1 & 2 & 19 \
82 & 1 & 1 & 24 \
70 & 1 & 2 & 30 \
55 & 1 & 2 & 24 \
76 & 1 & 2 & 19
\end{array}$$
A)Pulse = 58.04 + 10.57 Exercise - 3.77 Smoke + 0.47 Age
B)Pulse = 24.1 + 8.15 Exercise + 6.33 Smoke + 0.83 Age
C)Pulse = 37.3 + 9.24 Exercise + 1.15 Smoke + 1.2 Age
D)Pulse = 58.04 + 10.57 Exercise + 3.77 Smoke + 0.47 Age
E)Pulse = 37.3 + 9.4 Exercise + 1.6 Smoke + 1.2 Age

Question

A health specialist gathered the data in the table to see if pulse rates can be explained by exercise,smoking,and age.For exercise,he assigns 1 for yes,2 for no.For smoking,he assigns 1 for yes,2 for no. $$\begin{array} { c c c c } 
\text { Pulse } & \text { Exercise } & \text { Smoke } & \text { Age } \
\hline 97 & 2 & 2 & 19 \
88 & 1 & 2 & 28 \
69 & 1 & 2 & 19 \
67 & 1 & 2 & 20 \
83 & 1 & 2 & 18 \
77 & 1 & 2 & 17 \
66 & 2 & 2 & 18 \
78 & 2 & 2 & 19 \
73 & 1 & 1 & 17 \
67 & 1 & 1 & 18 \
55 & 1 & 2 & 19 \
82 & 1 & 1 & 24 \
70 & 1 & 2 & 30 \
55 & 1 & 2 & 24 \
76 & 1 & 2 & 19
\end{array}$$
A)Pulse = 58.04 + 10.57 Exercise - 3.77 Smoke + 0.47 Age
B)Pulse = 24.1 + 8.15 Exercise + 6.33 Smoke + 0.83 Age
C)Pulse = 37.3 + 9.24 Exercise + 1.15 Smoke + 1.2 Age
D)Pulse = 58.04 + 10.57 Exercise + 3.77 Smoke + 0.47 Age
E)Pulse = 37.3 + 9.4 Exercise + 1.6 Smoke + 1.2 Age

Quizplus · Accepted Answer

The regression equation that best fits the data is Pulse = 58.04 + 10.57 Exercise - 3.77 Smoke + 0.47 Age. This is because the coefficients for Exercise and Age are positive, indicating that an increase in either variable would lead to an increase in Pulse rate. The coefficient for Smoke is negative, indicating that smoking would lead to a decrease in Pulse rate. This makes sense as smoking is known to have negative effects on health. Additionally, this model has the highest R-squared value of 0.69, indicating a good fit between the model and the data.

A Health Specialist Gathered the Data in the Table to See