Please round all answers to 2 decimal places.Given the table below, use your calculator to find the Correlation CoefficientIy5.3 9.414.4 24.8Put your answer here:8.925.56.519.33.4 15.116.4

Given that Sample size n =6 We have to find correlation

Answered: Please round all answers to 2 decimal…

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…
Given the table below, use your calculator to find the Correlation Coefficient xx 7.1 9.6 8.9 4.5 2.9 4.4 yy 17.9 25 22.4 18.6 12.3 15.9
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.594. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Choose the correct answer below. O A. The coefficient of determination is 0.353. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O B. The coefficient of determination is 0.647. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors. O C. The coefficient of determination is 0.647. 64.7% of the variation is explained by the linear correlation, and 35.3% is explained by other factors. O D. The coefficient of determination is 0.353. 35.3% of the variation is explained by the linear correlation, and 64.7% is explained by other factors.
Use the data values in the table below to calculate the correlation between the variables x and y. Hint: Use your calculator to do this, you do not need to compute this by hand. y 4 19.34 5 19.35 6 20.86 7 24.57 8 23.08 9 23.89 10 28.6 Give your answer to three decimal places.
Recently, the stock market took big swings up and down. A survey of 969 adult investors asked how often they tracked their portfolio. The table shows the investor responses. What is the probability that an adult investor tracks his or her portfolio weekly? Express your answer as a simplified fraction and as a decimal rounded to three decimal places. How frequently? Response Daily O 231 269 274 Couple times a year 143 Don't track 52 Weekly Monthly 274 969 231 969 269 969 143 969 ;0.283 ;0.238 ;0.278 ;0.148
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
From the calculation that you obtained, interpret the correlation coefficient of the data found in the table Person Hand Height A 17 150 B 15 154 19 169 17 172 E 21 175 port
Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B < 1. r = -0.49 A 2. r = 0.97 D ✓ 3. r = 0.22 4. r = -0.74 A B D
Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age
The data in the table is the number of absences for 7 students and their corresponding grade. Number of Absences Grade0 5.51 52 4.53 3.55 37 2.58 2 Step 1 of 3: Calculate the correlation coefficient, r. Round your answer to six decimal places.
The figure below shows the relationship between tree height and tree age for a given tree species. What is the approximate correlation between the two variables; 0.99, 0, -0.98, or 1?
The two data sets are dependent. Find d¯¯¯d¯ to the nearest tenth. x 8.8 5.4 5.6 8.2 6.6 5.3 y 9.6 8.4 8.2 8.7 8.9 9.4 Round your answer to one decimal.

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Please round all answers to 2 decimal places. Given the table below, use your calculator to find the Correlation Coefficient I y 5.3 9.4 8.9 14.4 24.8 25.5 Put your answer here: 6.5 3.4 1 19.3 16.4 5.1