Answer:
The purpose of testing whether β1 = 0 is to determine whether or not there is a significant relationship between x and y
Step-by-step explanation:
- The purpose of testing whether β1 = 0 is to determine whether or not the mean of the x values is equal to the mean of the y values.
No, since we are not interested if the mean for the two variables x and y are equal, we want to know if we have relationship between the two variables.
- The purpose of testing whether β1 = 0 is to determine whether or not the regression line provides a good fit for the data
No, if we want to test if the regression line provides a good fit for the data we need to use a Chi square test or other type of test.
- The purpose of testing whether β1 = 0 is to determine whether or not there is a significant relationship between x and y
Yes, the idea when we have this system of hypothesis:
Null hypothesis: 
Alternative hypothesis: 
Is see if we have a significant relationship between x and y, that means that the slope is not equal to 0.
- The purpose of testing whether β1 = 0 is to determine whether or not there is a cause-and-effect relationship between x and y.
No, when we conduct a regression we never can conclude that we have a cause-relation effect, that's not the goal when we conduct this, the idea is check if we have a type of relationship that can be linear, quadratic or other type of relationship betwen some variables.
Answer:
q = 2
Step-by-step explanation:
0.5-0.125q=(q-1)/4
At first, we have to multiply both the sides by 4.
4 × (0.5 - 0.125q) = q - 1
or, 2 - 0.5q = q - 1
now, we change the side by taking constant into the right side and the number into the left side.
2 + 1 = q + 0.5q
or, 3 = q (1 + 0.5)
or, 3 = 1.5 q
or, 1.5 q = 3
or,
= (3 ÷ 1.5) [Dividing both the sides by 1.5]
or, q = 2
Therefore, q = 2