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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.
The correlation between the returns on Ceramics Craftsman, Inc., and the returns on the S&P 500 is 0.675. The variance of the returns on Ceramics Craftsman, Inc., is 0.004225, and the variance of the returns on the S&P 500 is 0.001467.
A committee of three is selected at random from a set consisting of five Democrats, eight Republicans, and two Independents.
How many observations were in the original data set? In the bottom row of the stem and leaf display identify the stem the leaves and the numbers in the original data set represented by this stem and its leaves.
What is the probability that all tree students pick a different card?
Calculate the mean and standard deviation for this set of data. Convert your answer back to dollars and cents and give the correlation value between number of beers consumed and BAC?
Using the 0.99 confidence coefficient, what are the confidence limits for the proportion that plan to vote for the Democratic incumbent.
A regional director responsible for business development in the state of pennsylvania is cocerned about the number of small business failures. If the mean of small businsses failures per month is 10,
Calculate the 95% confidence interval for the rate of positive tuberculin reaction separately for each of the two subpopulation, those with high exposure and those with low exposure.
One sample has SS = 48 and a second sample has SS = 32. When both samples have n =5, what is each sample variance and computed pooled variance?
We desire to test at 0.05 level of significance whether modification increases the life of battery. What is our decision rule? Reject null hypothesis if calculated t is less than 1.96.
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Find the sample size required. A pilot study showed that the population standard deviation is estimated to be 0.09 g
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