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Question: 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.
A production line operates with a mean filling weight of 500 grams per container. Over filling or under filling presents a serious problem and when detected requires the operator to shut down the production line to readjust the filling mechanism.
Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z is less than -2.20 is.
Determine mean and standard deviation for number of erroneous returns per batch.
In random, independent samples of 250 adults and 375 teenagers who watched a certain television show, 147 adults and 228 teens indicated that they liked the show.
The Internal Revenue Service plans to examine an SRS of individual federal income tax returns from each state. One variable of interest is the proportion of returns claiming itemized deductions.
The number using each entrance is reported below. At the .01 significance level, is there a difference in the use of the four entrances?
Examine relationship between GNP per capita and the percentage of respondents willing to pay more taxes. Create a table using the data below for the GNP per capita and the percentage willing to pay higher taxes.
A researcher is conducting proportionate stratified random sampling with a sample size of 250. Approximately how many people should be sampled from each stratum?
A 90% confidence interval for the mean Math SAT score mu for the population of seniors is what? (Assume the population of Math SAT scores for seniors in the district is approximately normally distributed.
Conduct a hypothesis test to determine if the average cardiac outputs measured by the two evaluators differ. Use a significance level of 0.02.
Report the test statistic and p-value. What is your decision and conclusion? State any assumptions you have made. Are these assumptions satisfied with these data?
Information about Solving inequality-X^2-1.01x-83.19
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