*..... The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper. Sale Price (millions Property of dollars) Size (thousands of sq. ft.) Land-to- Building Ratio 1 10.5 2,167 2.1 2 2.5 750 3.6 3 30.6 2,421 3.7 4 1.9 225 4.8 19.9 3,918 1.6 6 8.1 2,865 2.4 10.2 1,699 3.2 6.6 1,047 4.9 9 5.9 1,107 7.5 10 4.4 404 17.3 I A USE SALT (a) Calculate the value of the correlation coefficient between sale price (in millions of dollars) and size (in thousands of square feet). (Round your answer to four decimal places.) (b) Calculate the value of the correlation coefficient between sale price (in millions of dollars) and land-to-building ratio. (Round your answer to four decimal places.) (c) If you wanted to predict sale price and you could use either size or land-to-building ratio as the basis for making predictions, which would you use? O size O land-to-building ratio (d) Based on your choice in part (c), find the equation of the least-squares line you would use for predicting y = sale price (in millions of dollars). (Leave the data in the original units. Round your answers to four decimal places.)

The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper. Sale Price Size (millions Property of dollars) of sq. ft.) Land-to- (thousands Building Ratio 1 10.5 2167 2.0 2 2.5 750 3.5 3 30.5 2421 3.5 4 1.8 223 4.7 20.0 3916 1.8 6. 8.0 2865 2.4 7 10.2 1699 3.2 8 6.8 1047 4.9 9. 5.9 1108 7.6 10 4.6 405 17.2 (a) Calculate the value of the correlation coefficient between sale price and size. (Give the answer to three decimal places.) r = 0.702 (b) Calculate the value of the correlation coefficient between sale price and land-to-building ratio. (Give the answer to three decimal places.) r = -0.332 (c) If you wanted to predict sale price and you could use either size or land-to-building ratio as the basis for making predictions, which would you use? Size Land-to-building ratio (d) Based on your choice in Part (c), find the equation of the least-squares regression line you would use for predicting y = sale price. (Give answers to…

The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper. Property Sale Price(millionsof dollars) Size(thousandsof sq. ft.) Land-to-BuildingRatio 1 10.5 2167 2.1 2   2.6   750 3.4 3 30.6 2421 3.7 4   1.9   223 4.7 5 20.1 3916 1.7 6   8.1 2865 2.3 7 10.2 1699 3.2 8   6.6 1047 4.9 9   5.7 1107 7.5 10     4.4   405 17.3   (a) Calculate the value of the correlation coefficient between sale price and size. (Give the answer to three decimal places.)r = (b) Calculate the value of the correlation coefficient between sale price and land-to-building ratio. (Give the answer to three decimal places.)r =    (c) If you wanted to predict sale price and you could use either size or land-to-building ratio as the basis for making predictions, which would you use? 1 - Size 2 - Land-to-building ratio (choose either 1 or 2 as the answer). (d) Based on your choice in Part (c), find the equation of the least-squares…

Survey was conducted about real estate prices. Data collected is 164350, 254687, 355521, 449174, 574267, 679633, 722906, 863873, 975508, 1011950, 1103350, 1242150, 1385700. What is the interquartile range?

In order to estimate the difference between the average yearly incomes of marketing managers in the East and West of the United States, the following information was gathered. East West n1 = 40 n2 = 45  = 72 (in $1000)  = 78 (in $1000) s1 = 6 (in $1000) s2 = 8 (in $1000) ​ a. Develop an interval estimate for the difference between the average yearly incomes of the marketing managers in the East and West. Use 98% confidence. b. At α = .02, use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from those in the West.

.A 5-number summary for number of hours worked by employees of a company in a week were:     a) What is the value such that 25%of the employees worked more than that value? b) Calculate the range and interquartile range(IQR) of number of hours worked by the employees. c) About what percent of the employees worked between 23 and 53 hours? Complete sentence.

Based on the following record of road accidents per year, find the severity ratio and compute for the accident rate of hundred vehicle miles.

a. Assume that nothing is known about the percentage to be estimated. (Round up to the nearest integer.)

The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper. r= Property 1 r= 2 3 4 5 6 7 8 9 10 Sale Price (millions of dollars) 10.7 2.7 30.6 1.7 + 20.1 7.9 10.1 6.6 5.7 4.4 USE SALT Size (thousands of sq. ft.) 2,167 750 2,421 225 3,918 2,867 1,699 1,045 1,107 404 Land-to- Building Ratio 2.1 3.6 3.5 4.6 1.8 2.4 3.0 4.9 (a) Calculate the value of the correlation coefficient between sale price (in millions of dollars) and size (in thousands of square feet). (Round your answer to four decimal places.) 7.7 17.1 (b) Calculate the value of the correlation coefficient between sale price (in millions of dollars) and land-to-building ratio. (Round your answer to four decimal places.) (c) If you wanted to predict sale price and you could use either size or land-to-building ratio as the basis for making predictions, which would you use? O size O land-to-building ratio (d) Based on your choice in part (c), find the equation of the…

If necessary, use the appropriate z-score table to answer the following: a.) What is the area (to four decimal places) shaded to the left of z = 1.41? b.) What is the area (to four decimal places) shaded to the right of z = -2.06? c.) What z-score (to two decimal places) separates the bottom 1.7% from the rest?