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What percentage of the variation in state average test scores is explained by these two variables? Which variable(s) are significant? (b) Does Minitab flag any high leverage values? Do any states stand out with respect to Cook"s Di or DFITS? (c) Now let"s explore including expend (total state expenditure on secondary schools) in the model. Use a fitted line plot to create an added variable plot to evaluate the effects of expend after accounting for the self-selection of students taking the SAT. What do you learn? (d) Then also run the regression of the corresponding residuals and examine the residuals and case influence statistics, do any states stand out? (e) Any justification for removing this state from the analysis? Statistically Significant Outlier? (f) The residuals for Alaska in the original regression is above 50. Explain why it is not generally informative to judge the unusualness of an observation purely by the magnitude of its residual?
The probability that a house in an urban area will be burglarized is 5%. If 50 houses are randomly selected, what is the probability that one of the houses will be burglarized?
Make a stem plot for the men height data. Calculate the five-number summary for the women.
Findout probabilities utilizing standard normal distribution. If the debt is normally distributed with a standard deviation.
Would this be a T-value distribution? Can you take me through the steps to determine upper and lower limits of a 95% confidence interval?
$240 per hour for hours spent in court, $150 per hour for consultations, and $210 per hour for depositions. What is her averages per hour for this week?
Use frequency distribution to create a probability distribution, determine the (b) mean,(c) variance.
A demonstration to verify that an item meets its reliability requirement is based on obtaining 5 successful tests. If the probability of a successful test is 0.9, find the probability that 10 tests will be required to pass the demonstration.
Sales figures and profits for the stores are given in the following table. Obtain a regression line for the data and predict profit for a store assuming sales of $10 million.
Suppose that the National Labor Relations Board (NLRB) wishes to estimate the average hourly wage rate for a certain classification of skilled workers. It wishes to be 95% certain to get an estimate of sample mean within 0.05 of the truth.
The Bunte Auto Repair Shop received a shipment of four carburetors. One is known to be defective. If two are selected at random and tested.
At the end of 24 weeks of treatment, subjects were classified as responders or non-responders to treatment based on a battery of psychological tests.
Produce the scatter plot for sodium and bp. Do you think there are any outliers?
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