HW help!!! If you can explain to me how you found the answer to each question th
ID: 3061227 • Letter: H
Question
HW help!!! If you can explain to me how you found the answer to each question that would be wonderful!
1.)What is the interpretation for the slope of the linear regression prediction equation?
a.The value of Y when X = 0
b.The value of X when Y = 0
c.The change in Y with a unit change in X
d.The change in X with a until change in Y
e.None of the above
2.)A residual is defined as the
A.Amount of error between values of X
B.Difference between the observed Y and the predicted Y
C.Difference between two observed Y values
D.Absolute values of observed Y
E.None of the above
3.) In a linear equation, the value of Y when X is 0 is the
a.Slope
b.Y-intercept
c.Best fitting line
d.Zero
e.None of the above
4.) The obtained measure of how unusual or rare an obtained statistic is referred to as
a. alpha
b. beta
c. Z score
d. p-value
e. None of these
5.) Which of the following illustrates an important difference between the Z and t statistics?
a. The denominator of the Z statistic is subject to sampling error.
b. The denominator of the t statistic is subject to sampling error.
c. The sampling distribution of the Z statistic is not normal.
d. The numerator of the t statistic is the standard error based on the population standard deviation.
e. None of the above
6.) When a one-tailed test specifies that the population mean is greater than some specified value, we call it a _____________ test.
7.)The probability associated with rejecting the null hypothesis when it is true is called
a.Type I error
b.Type II error
c.Alpha
d.T-test
e.None of the above
8.) When conducting a statistical hypothesis test, what is it that we are actually doing?
a. Proving that the research hypothesis is true
b. Evaluating the direction of the research hypothesis
c. Falsifying the null hypothesis
d. Specifying a probability that H1 is equal to zero
e. None of the above
9. Suppose you are interested in comparing by sex the mean number of clinician visits at your agency per year. You hypothesize that women are more likely to visit the clinicians at your agency than men.
a.) Using the data in the table below, conduct a test of your hypothesis using the steps of hypothesis testing. The value of t = -2.038. Use alpha = .05. Cite all statistics (including the critical value of t and your p value) and use words to explain your findings.
b.) Interpret your findings at alpha = .01 Cite your critical value and your p value.
Visits Men
Range
59
Minimum value
11
Maximum value
70
Mean
37.28
Variance
142.88
Standard deviation
11.95
Sum
2013
Number of observations
54
Visits Women
Range
60
Minimum value
5
Maximum value
65
Mean
42.31
Variance
100.00
Standard deviation
10.00
Sum
1,227
Number of observations
29
Visits Men
Range
59
Minimum value
11
Maximum value
70
Mean
37.28
Variance
142.88
Standard deviation
11.95
Sum
2013
Number of observations
54
Visits Women
Range
60
Minimum value
5
Maximum value
65
Mean
42.31
Variance
100.00
Standard deviation
10.00
Sum
1,227
Number of observations
29
Explanation / Answer
Dear student please post the question one at a time.
1) A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable.
With a unit change in X, Y changes by an amount of b
Hence Option C is right
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