Below are four descriptions of a relationship between two variables.For each description select the value of the correlation coefficient out of the options provided that bestmatches it.An exact positive linear relationship.Choose.VChoose...+1.00A very strong negative (but not exact) relationship, which is approximately linear.- 1.00- 0.64-0.05No obvious relationship.- 0.94+0.94+0.64An obvious positive linear relationship about which the points are quite widelyscattered.fim

Answered: Below are four descriptions of a…

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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Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…
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Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
1945 is paired with cancer rates for 1975. The cigarette consumption data is from 1945 to 1975 in 5-year increments. There is a strong positive linear association between annual cigarette consumption and lung cancer rates. The correlation is 0.81. If we use the line to make predictions of the number of lung cancer deaths per 100,000 people, which of the following is an example of extrapolation? a. Predict Y when cigarette consumption is 3,500 cigarettes per person. b. Predict Y when cigarette consumption is 3,800 cigarettes per person. c. Predict Y when cigarette consumption is 4,600 cigarettes per person.
Which of the following are attributes of correlation? Ocorrelation is bounded by +1 and -1 correlation is a measure of linear dependency a correlation of 0 does not mean that 2 variables are independent independent variables have 0 correlation
Below shows the linear relationship between first year college GPA and high school GPA For both variables the GPA ranges from 0 to 4 in this sample. However, for the high schools sampled in this region, the true range of GPA is 0 to 5, how might this affect the correlation between these two variables?
If age were held fixed, but a person put on 15 pounds, what would you expect for the corresponding change in systolic blood pressure? (Use 2 decimal places.)If a person kept the same weight but got 15 years older, what would you expect for the corresponding change in systolic blood pressure? (Use 2 decimal places.)(e) Test each coefficient to determine if it is zero or not zero. Use level of significance 5%. (Use 2 decimal places for t and 3 decimal places for the P-value.) t P value β2 β3
What is the value of the correlation coefficent, r? Is the strength of the linear relationship strong, moderately strong, somewhat weak or very weak?
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1. Correlation basics Which of the following statements about correlation are true? Check all that apply. If the correlation between two variables is close to 1, there is a positive linear relationship between the two variables. The sign of the correlation indicates the strength or consistency of the linear relationship between two variables. If the correlation between two variables is 0, there is no clear linear relationship between the two variables. The sign of the correlation indicates the direction of the relationship between two variables. Correlation measures and describes the behavior of a single variable. The correlation is scaleless; that is, it doesn't change when the measurement units are changed for either or both of the variables. The correlation indicates the strength and the direction of the linear relationship between two variables. O O O O O

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