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.
Answer:
For this case we want to test if the mean number of filled overnight beds is over 523. If X represent our random variable "number of filled overnight beds", the system of hypothesis are:
Null Hypothesis: 
Alternative hypothesis: 
And for this case after conduct the test is FAIL to reject the null hypothesis. So then we can conclude that the claim that the number of filled overnight beds is over 523 is not statistically supported
Step-by-step explanation:
Previous concepts
A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".
The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".
The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".
Solution to the problem
For this case we want to test if the mean number of filled overnight beds is over 523. If X represent our random variable "number of filled overnight beds", the system of hypothesis are:
Null Hypothesis: 
Alternative hypothesis: 
And for this case after conduct the test is FAIL to reject the null hypothesis. So then we can conclude that the claim that the number of filled overnight beds is over 523 is not statistically supported
Answer:
your... syllabus is different from mine....
Step-by-step explanation:
which class u study