The table below provides data on 5 used cars, reporting year of manufacture as years since...
The table below provides data on 5 used cars, reporting year of manufacture as years since 2000 and miles driven in thousands.
Year of manufacture (x): 5,9,10,12,13
Miles Driven ( in 1000's) (y): 133,71,89,30,46
Calculate the linear correlation coefficient and use this to decide whether linear relationship exists between the two variables. Round the correlation coefficient to three decimal places.
The correlation coefficient is _____.
The linear relationship ____ between the two variables.
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The table below provides data on 5 used cars, reporting year of
manufacture as years since...
A manager wishes to determine whether there is a relationship between the number of years her...
A manager wishes to determine whether there is a relationship
between the number of years her sales representatives have been
with the company and their average monthly sales. The table shows
the years of service for each of her sales representatives and
their average monthly sales (in thousands of dollars).
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. A manager wishes to determine whether there is a relationship between the number of...
The table shows the number of years of education of parent and the number of years...
The table shows the number of years of education of parent and the number of years of education of their child. Years of Education of Parent 13 9 7 12 12 10 11 Years of Education of their Child 13 11 7 16 17 9 17 Determine the correlation coefficient and briefly describe the relationship between the two variables. Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the critical...
Used Cars - Actual Data: Below are the scatterplots, regression equations, and corresponding statistics for mileage,...
Used Cars - Actual Data: Below are the scatterplots, regression equations, and corresponding statistics for mileage, model year, and price for 15 different Honda Civics found on craigslist in May 2012. Mileage -vs- Price: x = Mileage (in thousands of miles) y = Price (in dollars) correlation coefficient: r = −0.886 regression equation: ŷ = −76.12x + 15,585.8 sample size: n = 15 Model Year -vs- Price: x = Model Year y = Price (in dollars) correlation coefficient:...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
Styles The data in the accompanying table represent the population of a certain country every 10 ...
Styles The data in the accompanying table represent the population of a certain country every 10 years for the years 1900-2000. An ecologist is interested in finding an equation that describes the population of the country over time. Complete parts (a) through (3) below Year, x 1900 1910 1920 1930 1940 1950 Population, y Year, x Population, y 179,323 203,302 79,212 1960 95,228 1970 104,021 1980 123,202 1990 132,164 2000 151,325 226,542 248,709 281,421 (a)Determine the least-squares regression equation, treating...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists....
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists
Use the given data set to complete parts (a) through (c) below. (Use a-0.05.) 10 9.13...
Use the given data set to complete parts (a) through (c) below. (Use a-0.05.) 10 9.13 13 8.75 12 9.13 3.11 4.74 8.14 8.77 9.25 8.09 6.13 7.25 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. OB. O C. OD. 12 16 12 16 8 12 16 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support...
Click here to view the data set. Click here to view the critical values table. i...
Click here to view the data set. Click here to view the critical values table. i Data set o LLLL 10 10 x y 2 4 4 8 6 10 6 13 7 19 (b) By hand, compute the correlation coefficient. The correlation coefficient is r= (Round to three decimal places as needed.) Print Done (c) Determine whether there is a linear relation between x and y. Because the correlation coefficient is and the absolute value of the correlation coefficient,...
en dropping steadly since 1984, and the trend in recent years has been roughly linear The...
en dropping steadly since 1984, and the trend in recent years has been roughly linear The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 2000 and y the number of banks, in thousands n: 10 ΣΧ=235 ΣΧ2.5605 Σy.77 664 Σy2-603 60324 ΣΧy 1010155 a Find an equation for the least squares line b Use your result from part a to predict the number of banks in the year 2020...
The table below gives the estimated world population (in billions) for various years. Year 1980 1990...
The table below gives the estimated world population (in billions) for various years. Year 1980 1990 1997 2000 2005 2011 Population 4400 5100 5852 6080 6450 7000 Linear Regression Equation: ____________________ Correlation Coefficient (r): _________ Type of Correlation: ______________________ Is the correlation strong? Explain Using the linear regression equation predict the world population in the year 2015.
A manager wishes to determine whether there is a relationship
between the number of years her sales representatives have been
with the company and their average monthly sales. The table shows
the years of service for each of her sales representatives and
their average monthly sales (in thousands of dollars).
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. A manager wishes to determine whether there is a relationship between the number of...
Styles The data in the accompanying table represent the population of a certain country every 10 years for the years 1900-2000. An ecologist is interested in finding an equation that describes the population of the country over time. Complete parts (a) through (3) below Year, x 1900 1910 1920 1930 1940 1950 Population, y Year, x Population, y 179,323 203,302 79,212 1960 95,228 1970 104,021 1980 123,202 1990 132,164 2000 151,325 226,542 248,709 281,421 (a)Determine the least-squares regression equation, treating...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists
Use the given data set to complete parts (a) through (c) below. (Use a-0.05.) 10 9.13 13 8.75 12 9.13 3.11 4.74 8.14 8.77 9.25 8.09 6.13 7.25 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. OA. OB. O C. OD. 12 16 12 16 8 12 16 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support...
Click here to view the data set. Click here to view the critical values table. i Data set o LLLL 10 10 x y 2 4 4 8 6 10 6 13 7 19 (b) By hand, compute the correlation coefficient. The correlation coefficient is r= (Round to three decimal places as needed.) Print Done (c) Determine whether there is a linear relation between x and y. Because the correlation coefficient is and the absolute value of the correlation coefficient,...
en dropping steadly since 1984, and the trend in recent years has been roughly linear The annual data for the years 1999 through 2008 can be summarized as follows, where x represents the years since 2000 and y the number of banks, in thousands n: 10 ΣΧ=235 ΣΧ2.5605 Σy.77 664 Σy2-603 60324 ΣΧy 1010155 a Find an equation for the least squares line b Use your result from part a to predict the number of banks in the year 2020...
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