The following data on sale price, size, and land-to-building ratio for 10 large industrial properties appeared in a paper.r=Property1r=2345678910Sale Price(millionsof dollars)10.72.730.61.7+20.17.910.16.65.74.4USE SALTSize(thousandsof sq. ft.)2,1677502,4212253,9182,8671,6991,0451,107404Land-to-BuildingRatio2.13.63.54.61.82.43.04.9(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.)7.717.1(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 sizeO 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. Roundyour answers to four decimal places.)ŷ =

Given that : Sale Price (x) Land to building ration (Y) 10.7 2.1 2.7 3.6 30.6 3.5 1.7…

Answered: he following data on sale price, size,…

Mathematics For Machine Technology

8th Edition

ISBN:9781337798310

Author:Peterson, John.

Publisher:Peterson, John.

Chapter29: Tolerance, Clearance, And Interference

Section: Chapter Questions

Problem 16A: Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector...

See similar textbooks

Similar questions

Spacers are manufactured to the mean dimension and tolerance shown in Figure 29-12. An inspector measures 10 spacers and records the following thicknesses: 0.372" 0.376" 0.379" 0.375" 0.370" 0.373" 0.377" 0.378" 0.371" 0.380" Which spacers are defective (above the maximum limit or below the minimum limit)? All dimensions are in inches.
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…
Data collected by a price reporting agency from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a liter of unleaded gasoline was $0.87. The following data show the price per liter ($) for a sample of 20 gasoline and convenience stores located in San Francisco. 0.97 0.97 1.25 0.92 0.92 1.00 0.94 0.97 1.01 0.96 0.96 0.97 0.92 1.03 1.12 0.95 0.98 0.97 0.97 0.96 (a) Use the sample data to estimate the mean price in dollars for a liter of unleaded gasoline in San Francisco. (Round your answer to three decimal places.) $ (b) Compute the sample standard deviation in dollars. (Round your answer to three decimal places.) $ (c) Compare the mean price per liter for the sample data to the national average price. What conclusions can you draw about the cost of living in San Francisco? The average price for a liter of unleaded gasoline in San Francisco is the national average. This indicates that the cost of living in San…
Data collected by a price reporting agency from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a liter of unleaded gasoline was $0.87. The following data show the price per liter ($) for a sample of 20 gasoline and convenience stores located in San Francisco. 0.97 0.97 1.29 0.92 0.96 0.96 0.98 0.93 1.01 0.96 0.96 0.97 0.96 1.03 1.12 0.95 0.94 1.01 0.93 0.92 (a) Use the sample data to estimate the mean price in dollars for a liter of unleaded gasoline in San Francisco. (Round your answer to three decimal places.) (b) Compute the sample standard deviation in dollars. (Round your answer to three decimal places.) (c) Compare the mean price per liter for the sample data to the national average price. What conclusions can you draw about the cost of living in San Francisco? The average price for a liter of unleaded gasoline in San Francisco is lower than/higher than/same as the national average. This indicates…
The accompanying data table contains the listed prices (in thousands of dollars) and the number of square feet for 20 homes listed by a realtor in a certain city. Square Feet Price ($000) 833 203 3,235 652 1,497 281 898 204 1,914 373 2,402 378 948 202 929 197 1,623 336 2,139 335 3,241 466 1,758 312 2,118 356 3,046 531 801 183 1,958 402 843 202 2,579 521 3,177 482 2,768 445 (b) Estimate the linear equation using least squares. Interpret the fitted intercept and slope. Be sure to include their units. Note if either estimate represents a large extrapolation and is consequently not reliable. Complete the equation for the fitted line below. Estimated Price ($000)…
The following data are obtained in the survey on the number of cell phones possessed by each family. 3 4 5 4 3 4 1 6 5 2 4 5 2 3 6 3 3 2 1 3 2 3 4 5 3 2 4 3 4 5 4 2 5 3 4 6 3 5 3 6 1 3 4 2 3 4 2 4 6 3 Solve for the average number of cell phones possessed by each family.
According to the Distribution of Z table, ______________ % of area is below a Z value of -1.16?
for a sample of 9 automobiles, the mileage (in 1000s of miles) at which the original front brake pads were worn to 10% of their original thickness was measured, as was the mileage at which the original rear brake pads were worn to 10% of their original thickness. The results were as follows: Car Rear Front 1 41.2 32.2 2 36.3 27.2 3 45.8 34.7 4 46.6 37.3 5 39.6 30.7 6 52.3 40.5 7 51.7 41.0 8 46.3 33.8 9 47.4 36.8 a)Construct a 99.8% confidence interval for the difference in mean lifetime between the front and rear brake pads. Let d represent the mileage of the rear pads minus the mileage of the front ones. Round the answers to at least two decimal places. b)Because the confidence interval (contains/does not contain) values above 10 (in 1000s of miles), it (contradicts/does not contradict) the claim that the mean lifetime for rear brake pads is more than 10,000 miles more than the mean lifetime for front brake pads.
The following data represent the monthly phone use, in minutes, of a customer enrolled in a fraud prevention program for the past 20 months. The phone company decides to use the upper fence as the cutoff point for the number of minutes at which the customer should be contacted. What is the cutoff point? 301440483490418486418429441363476417509368352436375473483366
^ The following table shows the weekly total sales (in dollars) at a small roadside fruit stand for the months of Sept. Through Dec. Months Weekly Sales Sept. 939 1261 1109 1075 Oct. 968 1233 886 966 Nov. 1168 1037 1130 1185 Dec. 889 1007 915 1178 Can you conclude that the weekly sales vaires with the month? Use the 3% level of significance.
Can smoking negatively affect one's ability to become pregnant? A study collected data on 654 women who had gone off birth control with the intention of becoming pregnant. Smokers were defined as those who smoked at least one cigarette a day prior to becoming pregnant. The results of the study are summarised in the table below. Smoker Non-smoker Total Pregnant 27 195 222 Not pregnant 100 332 432 Total 127 527 654 Calculate the following proportion to two decimal places (2dp), not as a percentage. What proportion of the women that were not pregnant, were also smokers?
Can smoking negatively affect one's ability to become pregnant? A study collected data on 654 women who had gone off birth control with the intention of becoming pregnant. Smokers were defined as those who smoked at least one cigarette a day prior to becoming pregnant. The results of the study are summarised in the table below. Smoker Non-smoker Total Pregnant 27 195 222 Not pregnant 100 332 432 Total 127 527 654 Calculate the following proportion to two decimal places (2dp), not as a percentage. What proportion of the women were smokers given they were pregnant?

SEE MORE QUESTIONS

Recommended textbooks for you

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

SEE MORE TEXTBOOKS

he 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) 10.7 2.7 30.6 1 2 3 4 5 1.7 20.1 Size (thousands of sq. ft.) 2,167 750 2,421 225 3,918 Land-to- Building Ratio 2.1 3.6 3.5 4.6 1.8