Product moment correlation Time left 0:24:11The item refers to the Table below which shows the scores obtained by ten students in tests, Aand B.Test ATest B28 38 4080 7264O a. 1O b. 0O C.O d. -14561 56Estimate the correlation coefficient between the two tests.0.550 56 61 6450 48 40723880282374655Finish

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Answered: Time left 0:24:11 The item refers to…

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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Find & practically interpret the correlation coefficient (r) Find & practically interpret the coefficient of determination (R2) Find the equation of the least-squares line (i.e. fill in the numbers for y^=a+bxy^=a+bx), where y is price and x is mileage Find & practically interpret the slope (b) Find & interpret the y-intercept (a) if an interpretation is possible. If it’s not possible, just report the y-intercept and explain why it can not be interpreted practically Use your model to estimate the price of a car that has 100,000 miles. Is this prediction reasonable? Why or why not? Provide a brief conclusion or discussion of the results that includes one of the following: – 1 point potential problems or sources of bias are the results what you expected? are there other variables that may also be useful to predict the price of a car
The Linear correlation coefficient r is the slope of the line. False True
The coefficient of determination is the square root of the correlation coefficient is the same as the correlation coefficient cannot be negative can be negative or positive
Define Bivariate Relationships?
From any raw data consider two variables that may be the temperature increases then price of ice cream increases . Considering then X and Y find out correlation and regression also interpretation?
regression sales = B1 + B2price + B3price? + Baadvert + e We estimate the above regression in R and obtain the following output ## Coefficients: ## Estimate Std. Error ## (Intercept) ## price ## I(price^2) 1.5 1.5 0.5 0.5 -0.5 1.5 ## advert 0.4 0.2 where the row I(price?) refers to the estimates for ß3. Suppose we are interested in testing the null hypothesis that expected sales do not depend on advertising against the alternative that expected sales do depend on advertising. What is the p-value for this hypothesis test (use a normal approximation)? In the options below, Z ~ N(0, 1). O a. 1- P(Z 0.4//0.2) O d. 2P(Z > 2) O e. 2P(Z > 0.4//0.2)
Linearize the graph of the data. USe the Range (m) on the y axis and Gravity (m/s^2) on the x axis. Range (m) Gravity (m/s^2) 22.16 5 18.47 6 15.83 7 13.75 8 12.31 9 11.08 10 10.07 11 9.23 12 8.44 13 7.92 14 7.39 15 6.93 16 6.52 17 6.16 18 5.83 19 5.54 20
Function domain fexy =J4-x* %3D
Consider the linear regression model given by y^= 6.553 - 0.0312x and the determination coefficient R2 = 0.64 Interpret the value of the determination coefficient Find the slope Find the correlation coefficient and interpret your result Predict the value of the dependent variable when the independent variable = 3.5 Find the value of the dependent variable when the value of the independent variable = 0
Blood Pressure A sample of blood pressure measurements is taken from Data Set 1 “Body Data” in Appendix B, and those values (mm Hg) are listed below. The values are matched so that 10 subjects each have systolic and diastolic measurements. (Systolic is a measure of the force of blood being pushed through arteries, but diastolic is a measure of blood pressure when the heart is at rest between beats.) Are the measures of center the best statistics to use with these data? What else might be better?
X GPA y = SAT score %3D In a test of linear correlation between GPA and SAT Scores produces a linear correlation coefficient of r = 0.845. Determine weather the regression line has a positive slope, or a negative slope. None of these Not enough information Positive slope O Negative slope O It depends « Previous Next ►
Using the ff. data for amount spent on books in dollars (x) and final exam grades x: 512, 86, 250, 65, 372.5, 260, 290, 80, 150, 245 y : 95, 75, 65, 30, 65, 85, 65, 50, 95, 55 Using linear regression, what is the value of the y-intercept (theta0)?

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Time left 0:24:11 The item refers to the Table below which shows the scores obtained by ten students in tests, A and B. Test A Test B 28 38 40 80 72 64 a. 1 O b. 0 C. 0.5 45 Estimate the correlation coefficient between the two tests. O d. -1 61 50 56 61 56 50 48 64 40 72 38 80 28