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1. Fit the saturated regression of the number of projects per 1,000 on the variables defined in the next 33 columns of the data table (Pct Added Housing Sq Ft through Income [per cap] 2000).
(a) Why is this model difficult to interpret?
(b) How accurately will this model predict new locations?
2. Apply forward stepwise regression to build a more parsimonious model from this collec- tion of potential explanatory variables. Be sure to avoid over-fitting. Interpret, if you can, the model obtained by stepwise. Is collinearity a problem?
foofy obtained a significant fobt from an experiment with five levels. she therefore concludes that changing every
At the .01 significance level can we conclude the mean age is more than 8.4 years for the cars of university students? State the null hypothesis and the alternate hypothesis.
The average demand for carpet from the stores that purchase from the distributor is 4500 yards per month, with a standard deviation of 900 yards. what is the probability that a customer's order will not be met during a month?
Suppose a bookie will give you $6 for every $1 you risk if you pick the winner in 3 ballgames. For every $1 bet, you either lose $1 or gain $6. What is the bookie's expected earnings per dollar wagered?
Build a predictive model for number of calories using fat grams. If a pizza has 15 grams of fat, how many calories should it have, using your model?
an experiment consists of tossing three unfair coins where the probabilty of tossing a head on each is 25. construct
scientists at the hopkins memorial forest in western massachusetts have been collecting meteorological and environ-
Show the sampling distribution of the mean amount of Medicare spending for a sample of fifty 2003 enrollees. What is the probability the sample mean will be within, plus or minus, $300 of the population mean?
In a test of the reliability of products produced by two machines, machine 1 produced 10 defective parts in a run of 200, while machine 2 produced 15 defective parts in a run of 260. Test the claim that proportion of defectives produced by machine..
Briefly describe: a statistical relation, time series, cross section, least squares, See, r, R-squared, t-value, multicollinearity and serial correlation.
in the fall semester of 2011 48.1 of students at uta were women. suppose that two students from uta are selected at
Test for single Proportion - Are the data consistent with the model? Answer yes or no, and explain briefly.
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