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A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects 6 months of data consisting of tire sales (in thousands of tires) and advertising expenditures (in thousands of dollars). Based on the data set with 6 observations, the simple linear regression model yielded the following results. (X is advertising expenditure in thousand dollars and Y is tires sold in thousands): ∑X =24; ∑Y =42; ∑X2 = 124; ∑Y2 = 338; ∑XY = 196
Find the Intercept and slope and Write the Regression Equation. Also predict the amount of tires (in thousand tires) sold when money invested in advertising is 5 thousand dollars. Calculate the correlation coefficient, coefficient of determination. Check whether there is a relation between correlation coefficient and coefficient of determination. Calculate SSE and MSE and standard error of the slope coefficient.
What is the Bonferroni adjustment? What would the Bonferroni adjustment be for a study with four groups for which a researcher decided to use t-tests?
State the alternative hypothesis that would be used to determine if Brand A has a higher proportion of defective smoke detectors than Brand B. Calculate the test statistic for determining if a difference exists between the failure rates of the two..
Therefore, probably the next Rose Bowl game will be played in freezing cold weather. Strong or weak? cogent or uncogent?
ABC Corporation has been using statistical process control for several months.
Given that x is a normal variable with mean u = 47 and standard deviation = 6.2, find:
A researcher is interested in estimating the noise levels in decibels at area urban hospitals. She wants to be 99% confident that her estimate is correct.
Different designs SRS from Normal data, Shape of the population distribution and sample distribution Margin of error doesn"t cover all errors How small a P is convincing?
Chicken Delight claims that 90% of its orders are delivered within 10 minutes of the time the order is placed. A sample of 100 orders revealed that 82 were delivered within the promised time.
Why then does it matter whether we assume straight-line or MACRS depreciation when we assess project NPV?
Would it be sensible to conclude that more than 10% of applicants are now failing the test?
Construct a frequency distribution and construct a histogram for the following data and use seven intervals, starting with 30-39.
They have asked for an analysis of the stock out probabilities for various order quantities, an estimate of the profit potential and to help make an order quantity recommendation.
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