11.10 Refer to Exercise 11.9. Create R output and answer the questions instead of using minitab output) a. Find the least-squares estimates of the slope and intercept in the output. b. What does the sign of the slope indicate about the relation between the speed of the drill and bit lifetime? c. Compute the residual standard deviation. What does this value indicate about the fitted regression line?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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11.10 Refer to Exercise 11.9. Create R output and answer the questions instead of using minitab output)

a. Find the least-squares estimates of the slope and intercept in the output.
b. What does the sign of the slope indicate about the relation between the speed of
the drill and bit lifetime?
c. Compute the residual standard deviation. What does this value indicate about the
fitted regression line?

11.9 A manufacturer of cases for sound equipment requires that holes be drilled for metal
screws. The drill bits wear out and must be replaced; there is expense not only in the cost of
the bits but also in the cost of lost production. Engineers varied the rotation speed of the drill
and measured the lifetime y (thousands of holes drilled) of four bits at each of five speeds x.
The data were:
60
60
60
60
80
80
80
80
100
100
y
4.6
3.8
4.9
4.5
4.7
5.8
5.5
5.4
5.0
4.5
100
100
120
120
120
120
140
140
140
140
y
3.2
4.8
4.1
4.5
4.0
3.8
3.6
3.0
3.5
3.4
a. Create a scatterplot of the data. Does there appear to be a relation? Does it
appear to be linear?
b. Is there any evident outlier? If so, does it have high influence?
Transcribed Image Text:11.9 A manufacturer of cases for sound equipment requires that holes be drilled for metal screws. The drill bits wear out and must be replaced; there is expense not only in the cost of the bits but also in the cost of lost production. Engineers varied the rotation speed of the drill and measured the lifetime y (thousands of holes drilled) of four bits at each of five speeds x. The data were: 60 60 60 60 80 80 80 80 100 100 y 4.6 3.8 4.9 4.5 4.7 5.8 5.5 5.4 5.0 4.5 100 100 120 120 120 120 140 140 140 140 y 3.2 4.8 4.1 4.5 4.0 3.8 3.6 3.0 3.5 3.4 a. Create a scatterplot of the data. Does there appear to be a relation? Does it appear to be linear? b. Is there any evident outlier? If so, does it have high influence?
11.10 Refer to Exercise 11.9.
Regression Analysis: Lifetime versus Drillspeed
The regression equation is
Lifetime = 6.03 - 0.0170 Drillspeed
Predictor
Coef
SE Coef
T
P
Constant
6.0300
0.5195
11.61
0.000
Drillspeed -0.017000
0.004999
-3.40
0.003
S = 0.632368
R-Sq = 39.1%
R-sq (adj) = 35.7%
Analysis of Variance
Source
DF
MS
F
P
Regression
4.6240
4.6240
11.56
0.003
Residual Error
18
7.1980
0.3999
Total
19
11.8220
Unusual Observations
SE Fit
0.245
Obs Drillspeed LifeTime
Fit
Residual
st Resid
2
60
3.800
5.010
-1.210
-2.08R
R denotes an observation with a large standardized residual.
a. Find the least-squares estimates of the slope and intercept in the output.
b. What does the sign of the slope indicate about the relation between the speed of
the drill and bit lifetime?
c. Compute the residual standard deviation. What does this value indicate about the
fitted regression line?
Transcribed Image Text:11.10 Refer to Exercise 11.9. Regression Analysis: Lifetime versus Drillspeed The regression equation is Lifetime = 6.03 - 0.0170 Drillspeed Predictor Coef SE Coef T P Constant 6.0300 0.5195 11.61 0.000 Drillspeed -0.017000 0.004999 -3.40 0.003 S = 0.632368 R-Sq = 39.1% R-sq (adj) = 35.7% Analysis of Variance Source DF MS F P Regression 4.6240 4.6240 11.56 0.003 Residual Error 18 7.1980 0.3999 Total 19 11.8220 Unusual Observations SE Fit 0.245 Obs Drillspeed LifeTime Fit Residual st Resid 2 60 3.800 5.010 -1.210 -2.08R R denotes an observation with a large standardized residual. a. Find the least-squares estimates of the slope and intercept in the output. b. What does the sign of the slope indicate about the relation between the speed of the drill and bit lifetime? c. Compute the residual standard deviation. What does this value indicate about the fitted regression line?
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