Question

The following data refers to the ages (in years) and prices (in thousands of dollars) of...

  1. The following data refers to the ages (in years) and prices (in thousands of dollars) of a random sample of 10 cars.

    age x (in years)

    5

    9

    16

    2

    3

    2

    3

    16

    8

    10

    price y (in $000's)

    10

    19

    10

    45

    45

    55

    34

    12

    15

    12

    where x is the age of the car (in years) and y is the selling price (in thousands of dollars).

    The 95% confidence interval for the average price of a 5-year-old car is closest to:

    $3000 to $21,700

    $3500 to $60,000

    $8000 to $16,600

    $22,400 to $41,000

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
At a large company, the salaries (y, in thousands of dollars) and years of experience (x)...
At a large company, the salaries (y, in thousands of dollars) and years of experience (x) of six randomly chosen engineers are: x (years) 6 7 9 10 13 15 y (salary) 44 41 43 45 51 49 Compute the least squares regression equation and use that equation to predict the salary (in thousands of dollars) of a new employee with 8 years of experience,
Following are age and price data for 10 randomly selected cars between 1 and 6 years...
Following are age and price data for 10 randomly selected cars between 1 and 6 years old. Here, x denotes age in, in years, and y denotes price, in hundreds of dollars. Use the information to complete parts (a) through (g). x : 6,6,6,2,2,5,4,5,1,4 y: 280,285,305,425,389,325,355,328,415,330 Predict the value of the response variable for a 22​-year-old car and a 33​-year-old ​car, and interpret your results. For a 22​-year-old ​car, the predicted price is $ _____ For a 33-year-old car, the...
Data were collected on the age (in years) and price (in thousands of dollars) of a...
Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Honda Civic. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided: Pearson correlation of the age (in years) and price (in thousands of dollars) = ? P-Value =? The regression equation is Price = 15.3 - 1.71 Age Predictor Coef SE Coef T P Constant 15.2912 0.5840 Age -1.7126 0.1264 S...
Data were collected on the age (in years) and price (in thousands of dollars) of a...
Data were collected on the age (in years) and price (in thousands of dollars) of a random sample of 25 used Honda Civic. A scatterplot of the data (with regression line) and computer output from a regression analysis are provided: Pearson correlation of the age (in years) and price (in thousands of dollars) = ? P-Value =? The regression equation is Price = 15.3 - 1.71 Age Predictor Coef SE Coef T P Constant 15.2912 0.5840 Age -1.7126 0.1264 S...
A researcher measures the relationship between education (in years) and investment gains (in thousands of dollars)....
A researcher measures the relationship between education (in years) and investment gains (in thousands of dollars). Are they significantly correlated? Conduct a hypothesis test at the .05 significance level. Education Investment Gains Deviation Scores Sum of Squares X Y X-Mx Y-MY (X-Mx) (Y-MY) (X-Mx)2 (Y-MY)2 14 8 12 11 9 10 18 14 Mx= MY = SSXY= SSX= SSY= Hypotheses: Critical Value: r = Decision:
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car...
The owner of Maumee Ford-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age (Years) Selling Price ($000) 1 12 10.3 2 10 9.2 3 15 4.6 4 18 4.2 5 12 5.1 6 10 11.6 7 12 8.0 8 16 7.8 9 14 7.8 10 18 4.3 11 8 10.0 12 8 8.8...
#4.    The following data represent the daily supply (y in thousands of units) and the unit...
#4.    The following data represent the daily supply (y in thousands of units) and the unit price (x in dollars) for a product. Daily Supply (y) Unit Price (x)   5   2   7   4   9   8 12   5 10   7 13   8 16 16 16   6 4a). Compute and interpret the sample correlation coefficient. use formula ( rxy= Sxy/SxSy ) 4b). A student has to take 9 more courses before he can graduate. If none of the courses are prerequisite to...
An auto manufacturing company wanted to investigate how the price of one of its car models...
An auto manufacturing company wanted to investigate how the price of one of its car models depreciates with age. The research department at the company took a sample of eight cars of this model and collected the following information on the ages (in years) and prices (in hundreds of dollars) of these cars. Age 3 2 8 5 3 7 7 6 Price 70 83 31 45 80 38 42 49 Find the least squares regression line equation in the...
Following are age and price data for 10 randomly selected cars between 1 and 6 years...
Following are age and price data for 10 randomly selected cars between 1 and 6 years old.​ Here, x denotes​ age, in​ years, and y denotes​ price, in hundreds of dollars. Use the information to complete parts​ (a) through​ (g). x 6 6 6 2 2 5 4 5 1 4    y 290 290 285 420 394 315 355 333 425 335 a. Find the regression equation for the data points.
The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car...
The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year. Car Age (years) Selling Price ($000) Car Age (years) Selling Price ($000) 1 15 12.0 7 13 9.7 2 10 10.1 8 17 9.0 3 17 5.4 9 16 9.0 4 19 4.9 10 19 4.9 5 12 5.6 11 8 11.4...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT