Answer:
There you go mate!
Step-by-step explanation:
Step-by-step explanation:
<u>Step 1: Find the probability of choosing a black sock</u>
<u>Step 2: Find the probability of choosing another black sock</u>
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<u>Step 3: Multiply them together to get the probability</u>
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Answer: Option D, 2/5
Answer:
Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response
Step-by-step explanation:
Given:
AS Predictor become more highly correlated .
To find:
Descriptive Nature of high correlated Predictor .
Solution:
A predictor is high correlated means:
1)It means that the two variables are strongly related to each other.
2)This is also called as problem of multicollinearity when two variables are
in Regression.
Effects when predictor are highly correlated ;
- <em>The estimated coefficient of one any one variable depends on the other predictor variable in model.</em>
- <em>Estimated coefficient of regression decrease as predictor variables are added.</em>
- <em>Hypothesis test Beta = zero gives different conclusion depending upon variable.</em>
- <em>High correlated of predictor variable does not provide good precision of predication of response in within model.</em>
In short ,Mulitcollinearity does not affect the mean response and new response of the model.
Hence P values of beta becomes smaller(< 0.0001). and doest affect the mean response
451.538 rounded to tenths place = 451.5
answer is c. 451.5 (third choice)
Answer:
The equation of the line is 4y = -x + 19
Step-by-step explanation:
Firstly, we need to get the slope of the line;
Since it is through two points; we have the slope as;
y2-y1/x2-x1 = (5-3)/(-1-7) = 2/-8 = -1/4
Mathematically, we can write the equation of a straight line line as;
y = mx + c
So we have;
y = -1/4x + c
y = -x/4 + c
To complete the equation, we need the value of c.
we can choose any of the points and insert the x and y value
Thus;
3 = -7/4 + c
c = 3 + 7/4
c = 19/4
So our equation becomes;
y = -x/4 + 19/4
Multiply through by 4
4y = -x + 19