Answer:
5% I think
Step-by-step explanation:
Its mostly just a guess but I think its 5%
Answer:
A Type II error is when the null hypothesis is failed to be rejected even when the alternative hypothesis is true.
In this case, it would represent that the new program really increases the pass rate, but the sample taken is not enough statistical evidence to prove it. Then, the null hypothesis is not rejected.
The consequence is that the new method would be discarded (or changed) eventhough it is a real improvement.
Step-by-step explanation:
Answer:
Step-by-step explanation:
Response Variable: Miles per gallon
Predictor Variables: Weight, Horsepower
The multiple regression equation would be: M = aW + bH + c
where M = miles per gallon
a = slope of the graph of W on M OR rate of change in M due to change in W
W = weight
b = slope of the graph of H on M OR rate of change in M due to change in H
H = horsepower
c = intercept of M on the y-axis OR constant variable
How might the car rental company use this model?
The car rental company might use the regression model to determine the following:
- Effect of weight (of car) on miles run per gallon (of premium motor spirit)
- Effect of horsepower on miles per gallon; etc.
GCF of :2xy and 2xy
2(x+y)
Answer: They will be the same after 3 weeks $127
Step-by-step explanation: