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Multiple choice questions based on regression.
1. For a multiple regression model, SSR = 600 and SSE = 200. The multiple coefficient of determination is
1. 0.333 2. 0.275 3. 0.300 4. 0.75
2. A variable that takes on the values of 0 or 1 and is used to incorporate the effect of qualitative variables in a regression model is called
1. an interaction 2. a constant variable 3. a dummy variable 4. None of these alternatives is correct
An experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield. There were 64 plots, and each of the 16 factor combinations was randomly assigned to 4 plots
An ANOVA procedure is used for data that was obtained from four sample groups each comprised of five observations. The degrees of freedom for the critical value of F are:
Using data provided, test if there is a difference between means at alpha =.05.
Find out the Optimum solution using the given data. Consider the following linear programming problem. Illustrate what is the optimum solution to this problem?
A population has mean 325 and variance 144. Suppose the distribution of sample means is generated by random samples of size 36.
At 95% confidence using the critical value approach, test to see if the percentage of defective systems produced by x-Game has exceeded the industry standard.
For which of given variables must a "two tail" t-test be applied?
What proportion of time will it take clean-up crew 56 or more hours for cleaning plant? Define the lower and upper limits of interval.
Is there a difference in the mean allowances nationally and the mean allowances in northwestern Ohio for nine-year-olds?
Suppose that sales of lemonade and sales of brownies are independent, determine standard deviation in his revenue.
Do 1-sample t-test to see if people in Chicago have travelled to fewer states than people nationwide. Utilize the 10% (.10) level of significance.
Either summarize your design or give an appropriate layout with table.
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