70 I’m pretty sure I’m correct sorry if I’m not:( I’m not to good with math
I think the answer is 4
If my memory serves me right then you have to do Q3-Q1
This is 6-2
The answer would be 4
Hope this is right and it helps :)
Answer:
y = x -2
Step-by-step explanation:
Slope is 1, y-intercept is (0,-2)
Answer:
d. Both I and II are false
Step-by-step explanation:
When there is a high degree of linear correlation between the predictors the errors are found.
The basic objective of the regression model is to separate the dependent and independent variables. So if the variables have high degree of linear correlation then the multi collinearity causes problems or has errors. It is not necessary that multi collinearity must be present with high degree of linear correlation.
For example we have 3 variable of heat length and time. And all of them have a high degree of correlation. With increase in heat and time the length increases . But for multi collinearity with the increase of time and decrease of heat length does not increase. So this causes errors.
y-hat = 135 + 6x + errors
The linear relationship between height and weight is inexact. The deterministic relation in such cases is then modified to allow the inexact relationship between variables and a non deterministic or probabilistic model is obtained which has error which are unknown random errors.
y- hat= a + bXi + ei (i=1,2,3...)
ei are the unknown random errors.
<u><em>So both statements are false.</em></u>
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Since their are 128 FL OZ in a gallon in a gallon do 10 times 60 (Mins in an hour) you get 60/128 an hour or you can divide to make a decimal and get 0.46875
