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Considering the simple case of linear regression analysis (one dependent and one independent variable) please share a couple of limiting and empowering factors related to this important tool.
To get you started: I consider the first step in a thorough regression analysis to be to graph the data in a scatter plot. The scatter plot (even before a regression is plotted) can reveal important problems in the data that can save a researcher embarrassment in the end. Discuss a couple of the issues we might discover.
To develop 3-month and 2-month moving average for the time series.The following data represents demand for company ABC's products for the last 10 months.
A random sample of 346 individuals is selected, and the individuals are classified according to their smoking habits and the smoking habits of their parents. The results are given in the contingency table below.
A neuropsychologist compare the auditory abilities of blind versus normally sighted rats. He predicted that the visually impaired rats would have better auditory development than normally sighted rats.
Construct a 99% confidence interval for the proportion of customers favoring underground installation.
Find the value of q-hat from proportion and degrees of freedom used to find the t-score.
Five test vehicles of each kind were crashed, with results given below. Research question: Are mean crash damages the same for these 3 vehicles?
The Globe Fishery packs shrimp that weigh more than 1.91 ounces each in packages marked" large" and shrimp that weigh less than 0.47 ounces each into packages marked "small"; the remainder are packed in "medium" size packages.
Please address the following question: When is the mean the best measure of central tendency? When is the median the best measure of central tendency?
An experiment consists of flipping the fair coin three times and noting the number of heads and tails. A random variable x is defined to be two times the number of heads plus the number of tails.
Find the value of Proportion and construct a 90% confidence interval for proportion.
Calculate (a) MAD, (b) MSE, and (c) MAPE for the following forecast versus actual sales figures.
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
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