Answer:
The correct answer is False.
Step-by-step explanation:
To help explain or predict the response variable in every regression study, we use one or more explanatory variables. These variables are also called response variables or dependent variables.
The risk factors and confounders involved are called predictor or independent variables.
These definitions are a part of regression analysis which is a technique to asses the relationship between one or more risk factors and a particular outcome variable.
Answer:
The 95% confidence interval for the true population mean dog weight is between 62.46 ounces and 71.54 ounces.
Step-by-step explanation:
We have that to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:

Now, we have to find z in the Ztable as such z has a pvalue of
.
So it is z with a pvalue of
, so 
Now, find M as such

In which
is the standard deviation of the population and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 67 - 4.54 = 62.46 ounches.
The upper end of the interval is the sample mean added to M. So it is 67 + 4.54 = 71.54 ounces.
The 95% confidence interval for the true population mean dog weight is between 62.46 ounces and 71.54 ounces.
Answer:
The second one
Step-by-step explanation:
Y=11/4x+3/2