A manufacturer of cases for sound equipment requires drilling holes for metal screws. The drill bits wear out and must be replac
ed; there is expense not only in the cost of the bits but also for lost production. Engineers varied the rotation speed of the drill and measured the life- time y of four bits at each of five speeds. Speed Lifetime
60 4.6
60 3.8
60 4.9
60 4.5
80 4.7
80 5.8
80 5.5
80 5.4
100 5
100 4.5
100 3.2
100 4.8
120 4.1
120 4.5
120 4
120 3.8
140 3.6
140 3
140 3.5
140 3.4
1. Create a scatterplot of the data. Does there appear to be a relation? Does it appear to be linear?
2. Regardless fit a simple linear regression model to the data. What can you say about the fit of the model to the data?
3. Is there any evident outlier . Remove this observation and fit the regression model again. Is it improving the model f?
There seems to be m linear relation between te data.
Negative relationships between variables.
Step-by-step explanation:
Speed(X)
60
60
60
60
80
80
80
80
100
100
100
100
120
120
120
120
140
140
140
140
Lifetime (Y) :
4.6
3.8
4.9
4.5
4.7
5.8
5.5
5.4
5
4.5
3.2
4.8
4.1
4.5
4
3.8
3.6
3
3.5
3.4
The linear regression equation obtained by fitting the data using a regression model is :
ŷ = -0.017X + 6.03
From the regression plot, the relationship between the two variables, speed and lifetime is negative, that is an increase in one variable will lead to a corresponding decrease in the other.