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Often, when dealing with dependent variables that represent financial data (income, price, etc.), using the natural log of the dependent variable will help to alleviate problems that may be causing patterns in residuals/violations of the required conditions. Re-run the Multiple Regression analysis using the natural log of the page cost variable instead. Re-run the Regression using this new variable as the dependent variable against all 3 independent variables, again creating residual plot for this model.
Evaluate the regression assumptions of linearity and homoscedasticity by assessing your new residual plot. Be specific about your evaluation and describe any suggestions you have for remedying any problems. [Hint: for suggestions you may read question 4 below.]
Determine the number of successes suggested by the given statement.
A local bank reported to the federal government that its 5,246 saving accounts have a mean of $1,000 and standard deviation of $240.
Assuming that this probability does not change, he would like to compute the probability that he will score on 1 or more of his next 4 attempts. He should use?
In an exam, the mean score is 70 and the variance is 16. What is the probability that a student's score will lie within the "54 to 86" range?
Suppose a random sample of size 36 is drawn from a population with a mean of 278. If 86% of the time the sample mean is less than 280, what is the population standard deviation?
Recognize independent variable and dependent variable for this experiment. Think in your head what influences what? Or, what causes what? Cause is independent variable.
Distinguish between a minimization and maximization LP model. Other than minimizing costs and maximizing profits, give a real-world example of where you would want to minimize something or maximize something.
Using the empirical rule, what is the approximate percentage of women between 156cm and 166cm? Using Chebyshev's Theorem, at least what percentage of women are between 149cm and 173cm?
What are the five steps for calculating probabilities of events? Please apply these steps to an example.
Composite functions are useful when one quantity depends on a second quantity, and in turn that second quantity depends on a third quantity. This is an extremely general situation with lots of real-world applications.
Describe each of the following types of designs, explain its logic, and why the design does or does not address the selection threats of Trochim and Donnelly (2006):
if you assume returns follow a normal distribution, which investment has a better chance of giving you $40 million in returns.
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