The coefficient of determination R2R-squared for a multiple regression model including two predictor variables x1 and x2 measures the __________.

You are to write the ENTIRE PROGRAM- STARTING with “#include” statements =============================== The program requires that there be a loop: For the user to enter as many INVENTORY ITEMS as they want (multiple transaction loop) ==================================================== The program requires the use of FUNCTIONS FOR All detail calculations Detail output ++++++++++++++++++++++++++++++++++++++++++++++++++++ PROGRAM SPECIFICATIONS ============== KNOWN INPUT:  markup rate is 2 (no decimal) no ordered is 20 (no decimal) ============ USER INPUT Item name (non-numeric) Cost (decimal value) No on hand  (no decimal) ==================== DETAIL CALCULATIONS(all have dec value)- USE FUNCTION FOR THIS Price (first divide the markup rate by 100.. then multiply this by the cost) Inventory amount ( add the no on hand to the no ordered) Value of the inventory (multiply the price by the inventory amount.) ========== DETAIL OUTPUT: (USE FUNCTION FOR THIS) LINE 1: item name _____ value of the inventory ____ LINE 2: Inventory amount _____  price: _____________ +++++++++++++++++++++++++++++++++++++++ SUMMARY CALC & OUTPUT- NONE ++++++++++++++++++++++++++++++++++++++++++++++++++++

A subdivision on the south side of Corpus Christi was built in 2002. The mean appraised value of a house in this subdivision is $309,500, with a standard deviation of $28,500. Suppose that a random sample of 50 houses from this subdivision was selected. What is the probability that the sample mean will be more than $312,500?

The rent for a one-bedroom apartment in a major metropolitan area follows the normal distribution with a mean of $2,950 per month and a standard deviation of $312 per month. What is the probability that a randomly selected apartment will have a rent less than $3,000?

The following table shows the number of cars sold last month by six dealers at Centreville Nissan dealership and their number of years of sales experience. Years of Experience Sales 1 7 2 9 2 9 4 8 5 14 8 14 Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience. Run regression analysis on the data set to determine the coefficient of determination.

Bias can occur in sampling. Bias refers to __________

The alternative hypothesis typically __________

A company decided to test the hypothesis that the average time a company’s employees are spending to check their private e-mails at work is more than 6 minutes. A random sample of 40 employees were selected and they averaged 6.6 minutes. It is believed that the population standard deviation is 1.7 minutes. The α is set to 0.05. The p-value for this hypothesis test would be __________

Suppose the local Best Buy store averages 522 customers every day entering the facility with a standard deviation of 124 customers. A random sample of 40 business days was selected. What is the probability that the average number of customers in the sample is between 530 and 540?

A company decided to test the hypothesis that the average time a company’s employees are spending to check their private e-mails at work is more than 11 minutes. A random sample of 70 employees were selected and they averaged 11.6 minutes. It is believed that the population standard deviation is 2.1 minutes. The α is set to 0.05. The p-value for this hypothesis test would be __________