From the given data:
Age(x) | Price(y) | x^2 | y^2 | xy | |
1 | 20 | 1 | 400 | 20 | |
2 | 19 | 4 | 361 | 38 | |
4 | 16 | 16 | 256 | 64 | |
5 | 16 | 25 | 256 | 80 | |
Total | 12 | 71 | 46 | 1273 | 202 |
The correlation coefficient is given by:
The correlation coefficient indicates that there is a strong negative linear relationship between age and price.
- Calculate the linear correlation coefficient and comment on the strength or weakness of the linear...
The phi correlation coefficient is a measure for the direction and strength of the linear relationship between two ________ variables.
For the following data (a) display the data in a scatter plot, (b) calculate the correlation coefficient r, and (c) make a conclusion about the type of correlation. The ages (in years) of 6 children and the number of words in their vocabulary Age, x 1. 2 3 4 5 6 Vocabulary size, y 500 450 1350 1750 2300 2300 (a) Choose the correct scatter plot below. A. B. c. D. 2350+.. 7 2350- 2350- Vocabulary Age Vocabulary Vocabulary ....
12. (20 pts) Compute the linear correlation coefficient of the following set of data points: X y 19 1 4 18 14 5 6 9 6 1 Use formula to find the linear correlation coefficient.
B) CRITICAL VALUES
C) Is there sufficient evidence to conclude that there is a
linear correlation between the two variables?
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Answer parts a-c. Selling Price (x) List Price (y) 400 410 303 317 380 385 430 440 455 485 480 477 318 320 354 370 416 431 333 342 Click here to view a table of critical values for the...
What is the critical value for the linear correlation coefficient, r, for a sample of size n = 15 with α = .01 ? (Round to the nearest thousandth. The linear correlation coefficient for a set of paired variables is r = .897. What proportion of the variation in y can be explained by the linear relationship between x and y? (Type the percentage rounded to the nearest hundredth without the % sign. The linear regression equation for a set...
Use the table of values to calculate the linear correlation coefficient r. x y 4 -5 53 -1 86 13 162 16 A. r = 0.918 B. r = 0.464 C. r = 0.619 D. r = 0.862
PLEASE HELP!!
You wish to determine if there is a negative 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 0.01 and round all values to 4 decimal places. Driver Age 57 56 65 21 46 46 56 26 Number of Driver Deaths per 100,000 36 21 22 20 19 35 27 30...
CORRELATION COEFFICIENT AND LINEAR REGRESSION Robbie is a food scientist interested in whether bitter flavors, like coffee, become more tolerable as people get older. He sets up a study in which subjects taste cups of coffee with varying intensities. Following is the sample of people used to make the cup he or she liked best. Age (in Years) Grams of Coffee 29 34 48 36 54 37 59 38 60 Independent variable: Dependent variable: у y2 X. y Σ Σ...
Intro to Stats
Q1:
Q2:
[3-6] Correlation is a measure of the direction and strength of the linear (straight-line) association between two quantitative variables. The analysis of data from a study found that the scatter plot between two variables, x and y, appeared to show a straight-line relationship and the correlation (r) was calculated to be -0.84. This tells us that there is little reason to believe that the two variables have a linear association relationship all of the data...
9. An experiment was performed on a certain metal to determine if the strength is a function of heating time (hours). Results based on 20 metal sheets are given below. Use the simple linear regression model. ∑X = 40 ∑X2 = 200 ∑Y = 80 ∑Y2 = 1120 ∑XY = 388 Find the estimated y intercept and slope. Write the equation of the least squares regression line and explain the coefficients. Estimate Y when X is equal to 5 hours....