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Suppose both the Repair record 1978 and Company headquarters are believed to be significant in explaining the vector (Price, Mileage, Weight). Here, because of the limited sample size, we compress the information in Repair record 1978 into a two level factor: level 1 is for 5 point and level 2 represents all the points lower than 5. Are the effects from the two factors, compressed Repair record 1978 and Company headquarters (also the possible interaction), significant in explaining the vector (Price, Mileage, Weight)? Please also specify what assumptions are made on your analysis (you do not need to check with these assumptions for this problem).
How can we analyse data with four bilateral response variables measured with errors and three covariated measured without errors?
how much that cost ?
Test the following claim. Identify the null hypothesis, alternative hypothesis, test statistic, critical value(s), conclusion about the null hypothesis, and final conclusion that
Stratified Random Sampling: This method of sampling is used when the population is comprised of natural subdivision of units, The method consist in classifying the population u
differance b/w big M mathod and two phase mathod
Ask question From the household budget survey of 1980 of the Dutch Central Bureau of Statistics, J. S. Cramer obtained the following logit model based on a sample of 2820 househol
Theories of Business forecasting
prove that coefficient of correlation lies between -1 and+1
For the following claim, find the null and alternative hypotheses, test statistic, P-value, critical value and draw a conclusion. Assume that a simple random sample has been selec
In reduced rank regression (RRR), the dependent variables are first submitted to a PCA and the scores of the units are then used as dependent variables in a series of
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