Answer:
When x1 and x2 decrease 4 units, y decreases by 20 units
Step-by-step explanation:
The regression model is
We have to calculate y for a decrease of 4 units in x1 and x2. For this we have to calculate the variation of y in function of x1 and x2.
As it is a linear regression model, we have:
For a variation in 4 units of x1 and x2, we have
Answer:
120,0.60,100
Step-by-step explanation:
Given that in a certain county in 2013, it was thought that 50% of men 50 years old or older had never been screened for prostate cancer.
Suppose a random sample of 200 of these men shows that 120 of them had never been screened.
a) the observed frequency = 120
b) The observed proportion of men who said they had not been screened
=
c) Expected number in the sample to say they had never been screened if 50% is the correct rate
= np
=