1) Suppose we have the following information from a simple regression:
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a) What is the coefficient of determination?
b) What is the correlation coefficient?
c) What is the sample mean ofY?
d) Test the hypothesis vs., with= 0.05.
2) The Daytona Beach Tourism Commission is interested in the average amount of money a typical college student spends per day during spring break. It is presumed that are normally distributed. They survey 35 students and find that the is $63.57 with asamplestandard deviation of $17.32.
a) Develop a 95% confidence interval for the population mean daily spending.
b) What level of confidence is associated with an interval of $58.62 to $68.52 for the population mean daily spending?
3) The sales manager for a that 229 of the previous 500 calls to hardware store owners resulted in new product placements. Assume these 500 calls represent a random sample.
a) Develop a 95% confidence interval for the population proportion of new product placements.
b) What level of confidence is associated with an interval of .400513 to .515487 for the population proportion of new product placements?
4) A pharmaceutical manufacturer is concerned that the in pills should not exceed 2%. It is known that a normal distribution with apopulationstandard deviation 0.32%. A random sample of 64 pills from a production run was checked, and the sample mean impurity concentration was found to be 2.05%.
a) Test at the 5% level the null hypothesis that the population mean impurity concentration is 2% or less against the alternative that it is more than 2%.
b) Calculate thep-value for this test.
5) It is hypothesized that the number of bottles of an imported premium beer sold in city restaurants depends linearly on the average cost of meals in these restaurants. The following results were obtained for a sample ofn =20 restaurants of approximately equal size:
where:
y= Number of bottles of imported premium beer sold, and
x= Average cost, in dollars, of a meal.
a) Determine the equation for the sample regression line.
b) Interpret the slope of the sample regression line.
c) Is it possible to provide a meaningful interpretation of the intercept of the sample regression line? Explain.
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