Question

We use the form y hat = a + bx for the least-squares line. In some...

We use the form y hat = a + bx for the least-squares line. In some computer printouts, the least-squares equation is not given directly. Instead, the value of the constant a is given, and the coefficient b of the explanatory or predictor variable is displayed. Sometimes a is referred to as the constant, and sometimes as the intercept. Data from Climatology Report No. 77-3 of the Department of Atmospheric Science, Colorado State University, showed the following relationship between elevation (in thousands of feet) and average number of frost-free days per year in Colorado locations. A Minitab printout provides the following information. Predictor Coef SE Coef T P Constant 318.51 28.31 11.24 0.002 Elevation -30.084 3.511 -8.79 0.003 S = 11.8603 R-Sq = 96.6% Notice that "Elevation" is listed under "Predictor." This means that elevation is the explanatory variable x. Its coefficient is the slope b. "Constant" refers to a in the equation y hat = a + bx. (a) Use the printout to write the least-squares equation. y hat = 318.51 Correct: Your answer is correct. + -30.084 Correct: Your answer is correct. x (b) For each 1000-foot increase in elevation, how many fewer frost-free days are predicted? (Use 3 decimal places.) 30.084 Correct: Your answer is correct. (c) The printout gives the value of the coefficient of determination r2. What is the value of r? Be sure to give the correct sign for r based on the sign of b. (Use 3 decimal places.)

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
The following Minitab display gives information regarding the relationship between the body weight of a child...
The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8489 0.4148 2.06 0.84 Weight 0.39161 0.02978 13.52 0.000 S = 0.517508 R-Sq = 94.6% (a) Write out the least-squares equation. y hat = + x (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child...
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough...
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. An archaeological study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T P Constant -0.224 2.429 -0.09 0.929 Diameter 0.7527 0.1471 4.15 0.003 S =  4.07980       R-Sq = 74.2% (a)...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x...
Given the least squares regression line y with overbrace on top equals 1.30 minus 2.24 x which has r squared=0.7. Calculate the sample correlation coefficient r. Enter the answer in the box below, rounded to 3 decimal places. Hint: Recall that the sign of r and the sign of the slope, m, are always the same.
Let x be per capital income in thousands of dollars. Let y be the number of...
Let x be per capital income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y. x 8.9 9.5 10.5 8.0 8.3 8.7 y 9.8 18.4 21.8 10.2 11.4 13.1 Complete parts (a) through (e), given Σx = 53.9, Σy = 84.7, Σx2 = 488.29, Σy2 = 1315.45, Σxy = 781.11, and r ≈ 0.914. (a) Draw a scatter diagram displaying the...
You are the foreman of the Bar-S cattle ranch in Colorado. A neighboring ranch has calves...
You are the foreman of the Bar-S cattle ranch in Colorado. A neighboring ranch has calves for sale, and you are going to buy some calves to add to the Bar-S herd. How much should a healthy calf weigh? Let x be the age of the calf (in weeks), and let y be the weight of the calf (in kilograms). x 3 3 9 16 26 36 y 41 51 78 100 150 200 Complete parts (a) through (e), given...
The following data where are recently collected. We will use this data to determine if there...
The following data where are recently collected. We will use this data to determine if there is a relationship between age and the length of hospital stay for post surgical patients. Please use the data to answer all questions on the assignment, and assume the data form a simple random sample. Age(years) Days in Hospital 40 11 36. 9 30. 10 27. 5 24. 12 Please note : for these data, x= 31.4, sx= 6.54, y=9.4, Sy=2.7 1) Find the...
Please show formulas in excel Do heavier cars really use more gasoline? Suppose a car is...
Please show formulas in excel Do heavier cars really use more gasoline? Suppose a car is chosen at random. Let x be the weight of the car (in hundreds of pounds), and let y be the miles per gallon (mpg). x 29 46 33 47 23 40 34 52 y 29 22 24 13 29 17 21 14 Complete parts (a) through (e), given Σx = 304, Σy = 169, Σx2 = 12,244, Σy2 = 3837, Σxy = 6045, and...
2.) Suppose we use a person's dad's height to predict how short or tall the person...
2.) Suppose we use a person's dad's height to predict how short or tall the person will be by building a regression model to investigate if a relationship exists between the two variables. Suppose the regression results are as follows: Least Squares Linear Regression of Height Predictor Variables Coefficient Std Error    T P Constant 20.2833 8.70520 2.33 0.0223 DadsHt 0.67499    0.12495 5.40 0.0002 R² 0.2673 Mean Square Error (MSE) 23.9235 Adjusted R² 0.2581    Standard Deviation    4.9000...
A study was conducted to determine if a person’s agreeability (whether they are generally an agreeable...
A study was conducted to determine if a person’s agreeability (whether they are generally an agreeable person or not) affects their income level. It also looked at the person’s gender to see if it was a factor as well. The variables are shown below: Income:    y = annual income in dollars Agree:      x1 = agreeability level with higher scores indicating a person is more aggregable and lower scores indicating less agreeable Gender:   x2 = 1 if male, 0 if female...
4) The correlation coefficient r is a sample statistic. What does it tell us about the...
4) The correlation coefficient r is a sample statistic. What does it tell us about the value of the population correlation coefficient ρ (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of ρ yet. However, there is a quick way to determine if the sample evidence based on ρ is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT