Below is bivariate data on vintage dresser auctions, where X is the year of construction of the dresser and Yis the price sold at auction. 1842 1790 1886 1903 1819 1880 1851 Y 4500 8600 2100 1900 7500 1600 4900 a) Find the correlation coefficient (round to four decimal places) between year of construction ar price sold at auction and then interpret the direction and strength of the correlation. b) Find the Least-Squares Regression Line (round to four decimal places throughout.) c) Predict the price sold at auction of a dresser made in 1865 (round to the nearest dollar.)

Below is bivariate data on vintage dresser auctions, where X is the year of construction of the dresser and Yis the price sold at auction. 1842 1790 1886 1903 1819 1880 1851 Y 4500 8600 2100 1900 7500 1600 4900 a) Find the correlation coefficient (round to four decimal places) between year of construction ar price sold at auction and then interpret the direction and strength of the correlation. b) Find the Least-Squares Regression Line (round to four decimal places throughout.) c) Predict the price sold at auction of a dresser made in 1865 (round to the nearest dollar.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Using the below data, how will you judge the degree of correlation between the two variables x and y? Edxdy = 125 n =60 Ox=5 Cy = 7 O a. Very high degree of correlation O b. Very low degree of correlation O C. Perfect correlation O d. No correlation
Using the below data, how will you judge the degree of correlation between the two variables x and y? Edxdy = 125 Ox = 5 n = 60 Oy = 7 O a. Very low degree of correlation O b. No correlation O C. Perfect correlation O d. Very high degree of correlation
Statistics Question
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You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 64 32 55 30 72 36 34 30 31 18 16 29 21 22 32 18 46 24 46 31 Ho: ρ = 0Ha: ρ > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Do Not Reject Ho Reject Ho Accept Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. There is…
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Suppose we have only ten scores representing the ages (in years) of randomly selected U.S. commercial aircraft. The average age of the ten aircraft is 14.25 years and the sample standard deviation is 9.349 years. Construct a 95% confidence interval for the mean age of all U.S. commercial aircraft. I would appreciate to see what formulas you use and the work through because I messed up.
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