Male life expectancy. Refer to Problem 92 . Subsequent data indicated that life expectancy grew to 73.2 years for males born during 1995 - 2000 and to 74.3 years for males born during 2000 - 2005 . Add the points 15 , 73.2 and 20 , 74.3 to the data set in Problem 92 . Use a graphing calculator to find a quadratic regression model for all five data points. Graph the data and the model in the same viewing window.
Male life expectancy. Refer to Problem 92 . Subsequent data indicated that life expectancy grew to 73.2 years for males born during 1995 - 2000 and to 74.3 years for males born during 2000 - 2005 . Add the points 15 , 73.2 and 20 , 74.3 to the data set in Problem 92 . Use a graphing calculator to find a quadratic regression model for all five data points. Graph the data and the model in the same viewing window.
Male life expectancy. Refer to Problem
92
. Subsequent data indicated that life expectancy grew to
73.2
years for males born during
1995
-
2000
and to
74.3
years for males born during
2000
-
2005
. Add the points
15
,
73.2
and
20
,
74.3
to the data set in Problem
92
. Use a graphing calculator to find a quadratic regression model for all five data points. Graph the data and the model in the same viewing window.
Report the equation of the regression line and interpret it in the context of the problem
Midgett Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff suggested that linear regression be employed to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis are as follows:
Month
MaintenanceCost
Machine Hours
Jan.
$
5,000
600
Feb.
3,644
440
Mar.
4,400
610
Apr.
3,337
480
May
5,222
660
June
3,390
410
July
3,618
470
Aug.
5,384
630
Sept.
5,114
590
Oct.
4,883
590
Nov.
3,925
430
Dec.
3,850
350
Sum
$
51,767
6,260
Average
$
4,313.92
521.67
Average cost per hour ($51,767/6,260) = $8.27 (rounded to the nearest cent)
r = 0.85977
r2 = 0.73920
The percent of the total variance that…
A manager wishes to determine the relationship between the number of years her sales representatives have been employed by the firm and their amount of sales (in thousands of dollars) per month. Find the equation of the regression line for the given data.
Chapter 4 Solutions
Finite Mathematics for Business, Economics, Life Sciences and Social Sciences
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