Concept explainers
a.
To find: a linear regression modal that fits the data using graphical calculator.
a.
Answer to Problem 4.6STP
The equation for the linear regression modal is
Explanation of Solution
Given information: The table shows the number of people who entered a store and the
total sales each hour.
Number of people | 42 | 17 | 26 | 50 | 57 | 42 | 39 | 44 | 64 | 31 |
Total sales | 155 | 33 | 109 | 240 | 237 | 129 | 136 | 189 | 271 | 105 |
Formula used:
The equation for the linear regression modal is given below.
Calculation:
Using the graphing calculator the equation for the linear regression modal on above table data is:
The equation for the linear regression modal is
b.
To find: the r value for your regression mode and what does this r value mean.
b.
Answer to Problem 4.6STP
The r value means “
r = 0.96153463534215
Explanation of Solution
Given information: The table shows the number of people who entered a store and the
total sales each hour.
Number of people | 42 | 17 | 26 | 50 | 57 | 42 | 39 | 44 | 64 | 31 |
Total sales | 155 | 33 | 109 | 240 | 237 | 129 | 136 | 189 | 271 | 105 |
Calculation:
The r value means “
To use the graphing calculator the “correlation coefficient” of the regression modal on the above data is 0.96153463534215.
So r = 0.96153463534215.
c.
To find: a median −fit line for the data using graphical calculator.
c.
Answer to Problem 4.6STP
The equation for median −fit line for the data is
Explanation of Solution
Given information: The table shows the number of people who entered a store and the
total sales each hour.
Number of people | 42 | 17 | 26 | 50 | 57 | 42 | 39 | 44 | 64 | 31 |
Total sales | 155 | 33 | 109 | 240 | 237 | 129 | 136 | 189 | 271 | 105 |
Formula used:
The equation for the linear regression modal is given below.
Calculation:
Using the graphing calculator the equation for the linear regression modal on above table data is:
So, the equation for median −fit line for the data is
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