In: Statistics and Probability
An automobile dealer conducted a test to determine whether the time needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data (time in minutes) obtained follow.
Car | ||||
Compact | Intermediate | Full Size | ||
Analyzer | Computerized | 50 | 55 | 63 |
Electronic | 42 | 44 | 46 |
The following regression model can be used to analyze the data
for a randomized block design involving two treatments and three
blocks.
E(y) = 0 + 1 x 1
+ 2 x 2 + 3 x 3
Show the values of the variables below. If your answer is “zero”
enter “0”.
Analyzer | x 1 |
Computerized | |
Electronic | 1 |
Car | x 2 | x 3 |
Compact | 0 | 0 |
Intermediate | 1 | |
Full Size | 0 |
Enter negative values as negative number.
Show the estimated regression equation (to 1 decimal, if
necessary).
= ----- + ------- x 1 + ---------- x 2 +
------------ x 3
What is the value of the t test statistic for the type
of analyzer (to 2 decimals)? Use ? = .05 to test for any
significant differences.
What is the p-value?
Selectless than .01between .01 and .025between .025 and .05between
.05 and .10greater than .10Item 9
What is your conclusion?