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Multiple choice questions based on regression.
A regression and correlation analysis resulted in the following information regarding a
1. A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).
∑X = 90 ∑(Y - )(X - ) = 466
∑Y = 170 ∑(X - )2 = 234
n = 10 ∑(Y - )2 = 1434
SSE = 505.98
The coefficient of determination equals
1. 0.6472 2. -0.6472 3. 0 4. 1
2. The following information regarding a dependent variable Y and an independent variable X is provided.
∑X = 16 ∑(Y - )(X - ) = -8
∑Y = 28 ∑(X - )2 = 8
n = 4 SST = 42
SSE = 34
The coefficient of determination is
1. 0.1905 2. -0.1905 3. 0.4364 4. -0.4364
Plot a scatter diagram and what kind of relationship exists between these two variables
Standard deviation of this poll is 4%. What would be standard deviation if sample size were increased from 83 to 190?
What can be completed to remedy multicollinearity.
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What is the slope of the regression equation developed when the Sales data are used to predict the Pounds and what is the seasonal factor for the third quarter?
In optimal solution, determine minimum time needed to complete project?
Random sample of 250 americans is selected, the mean of this sample belongs to a sampling distribution. What is the shape of this sampling distribution?
We would like to test if the proportion of respondents that support the health care bill is less than 50% (a) what kind of hypothesis test is appropriate?
To find out the prior probability, conditional probability and posterior probability. Calculate the posterior probability that the bid will be successful given a request for additional information.
Access the University of Phoenix Material, "Data for Inferential Practice Problems." Use the Excel® Analysis ToolPak? when necessary for the following:
At the present time, the warehouse is 40 feet deep. How many feet of depth should be added on the warehouse to minimize the annual inventory costs?
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