Shown below is a portion of a computer output for a regression analysis relating Y (dependent variable) and X (independent variable).ANOVA dfSSRegression 1115.064Residual13 82.936Total CoefficientsStandard ErrorIntercept15.5321.457x –1.1060.261a.Perform a t test using the p-value approach and determine whether x and y are related. Let α = 0.05.b.Using the p-value approach, perform an F test and determine whether x and y are related.c.Compute the coefficient of determination and fully interpret its meaning.
The price of a particular brand of jeans has a mean of $37.9…
The price of a particular brand of jeans has a mean of $37.99 and a standard deviation of $7. A sample of 49 pairs of jeans is selected. Use Excel to answer the following questions:a.What is the probability that the sample of jeans will have a mean price less than $40?b.What is the probability that the sample of jeans will have a mean price between $38 and $39?c.What is the probability that the sample of jeans will have a mean price within $3 of the population mean?
Using α = 0.04, a confidence interval for a population propo…
Using α = 0.04, a confidence interval for a population proportion is determined to be 0.65–0.75. If the level of significance is decreased, the interval for the population proportion _____.
Given below are seven observations collected in a regression…
Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). xy 212 39 68 77 86 75 92 a.Develop the least squares estimated regression equation.b.At 95% confidence, perform a t test and determine whether the slope is significantly different from zero. c.Perform an F test to determine whether the model is significant. Let α = 0.05.d.Compute the coefficient of determination.
In order to estimate the difference between the yearly incom…
In order to estimate the difference between the yearly incomes of marketing managers in the East and West of the United States, the following information was gathered: EastWest n1 = 40n2 = 45 = 72 (in $1000s) = 78 (in $1000s) s1 = 6 (in $1000s)s2 = 8 (in $1000s)a.Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use α = 0.05. b.At 95% confidence, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from the West.
A company has recorded data on the weekly sales for its prod…
A company has recorded data on the weekly sales for its product (y) and the unit price of the competitor’s product (x). The data resulting from a random sample of seven weeks follows. Use Excel to:a.Compute a 95% confidence interval for expected sales for all weeks when the competitor’s price is 0.30.b.Compute a 95% prediction interval for sales for a week when the competitor’s price is 0.30. WeekPriceSales 10.3320 20.2514 30.4422 40.4021 50.3516 60.3919 70.2915
A random sample of 100 credit sales in a department store sh…
A random sample of 100 credit sales in a department store showed an average sale of $120.00. From past data, it is known that the standard deviation of the population is $40.00.a.Determine the standard error of the mean.b.With a 0.95 probability, determine the margin of error.c.What is the 95% confidence interval of the population mean?
For which of the following values of p is the value of p(1 −…
For which of the following values of p is the value of p(1 − p) maximized?
Nancy believes that the average running time of movies is eq…
Nancy believes that the average running time of movies is equal to 140 minutes. A sample of four movies was taken, and the following running times were obtained. Assume the distribution of the population is normally distributed. 150150180170 a.State the null and alternative hypotheses.b.Using a critical value, test the hypothesis at the 10% level of significance.c.Using a p-value, test the hypothesis at the 10% level of significance.d.Using a confidence interval, test the hypothesis at the 10% level of significance.e.Could a Type II error have been committed in this hypothesis test?
If the standard deviation of the lifetimes of vacuum cleaner…
If the standard deviation of the lifetimes of vacuum cleaners is estimated to be 300 hours, what sample size must be selected in order to be 97% confident that the margin of error will not exceed 40 hours?