Answer:
Step-by-step explanation:
Given
Paper = 20 slips
Word: PENNSYLVANIA
Required
Determine P(Multiple of 4 and V)
The sample size of the 20 slips is:
The outcomes of multiples of 4 is:
So, the probability of multiples of 4 is:
The sample size of PENNSYLVANIA is:
The outcome of V is:
So, the probability of V is:
So, the required probability is: P(Multiple of 4 and V)
Express as percentage
12 x 16 = 192 square inches
Complete question is;
Regarding the violation of multicollinearity, which of the following description is wrong?
a. It changes the intercept of the regression line.
b. It changes the sign of the slope.
c. It changes the slope of the regression line.
d. It changes the value of F-tests.
e. It changes the value of T-tests
Answer:
a. It changes the intercept of the regression line
Step-by-step explanation:
Multicollinearity is a term used in multiple regression analysis to show a high correlation between independent variables of a study.
Since it deals with independent variables correlation, it means it must be found before getting the regression equation.
Now, looking at the options, the one that doesn't relate with multicollinearity is option A because the intercept of the regression line is the value of y that is predicted when x is 0. Meanwhile, multicollinearity from definition above does in no way change the intercept of the regression line because it doesn't predict the y-value when x is zero.
Answer:
(1,-12)
Step-by-step explanation:
-10+5y=-50
5y=-60
y=-12
10x-60=-50
10x=10
x=1
Answer:
11/25 The right answer is not a part of the options given.
Step-by-step explanation:
Given;
Probability that event M will not occur = 0.8
Probability that event R will not occur = 0.6
Then the ;
Probability that event M will occur = 1 - 0.8 = 0.2
Probability that event R will occur = 1 - 0.6 = 0.4
If events M and R cannot both occur, probability that either event M or event R will occur
= probability that M occurs and R does not or the probability that R occurs and M does not
= 0.2 × 0.6 + 0.4 × 0.8
= 0.12 + 0.32
= 0.44
= 11/25
