4. Consider the table to the right that shows thenumber of free samples (x) given out and theresulting number of protein shakes sold (y).X 7y133хуx²y²155Слa) Complete the table [3]2811b) Find the equation of the line of best fitmanually (SHOW YOUR WORK) [3]3914441860207127ΣχΣΥExyΣχΣγc) If the manager of the company wants to sell 60 protein shakes,howmany free samples should she offer? [F]d) Predict the number of protein shake purchases with 200 free samplesusing the equation of line of best to answer this. (✗

Step 1: Complete the tablexyxyx2y2737 * 3723215515 * 515252281128 * 11282112391439 * 14392142441844…

Answered: 4. Consider the table to the right that…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter3: Functions And Graphs

Section3.3: Lines

Problem 76E

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55. Explain from the data given below whether A and B are independent. positively associated or negatively associated : N=10,000, (A) = 4500, (B) = 6000, (AB) = 3150. () (A) = 150, (a) = 250, (B) = 20o, (aB) = 125. %3D %3D %3D
2) Use Data Linearization technique to perform a fit in the form of y = (x^B)-¹ using the given data. x y 0.5 1.333 0.9 0.4115 0.333 1.5 0.231
The data in the following table show the amount of water in milliliters a professional tennis player loses for various times, in minutes, of play during a tennis match. (a) Use the points (10, 500) and (60, 2,300) to find a linear model that will predict the water lost y (in mL) by a player who has been playing for x minutes. (b) Use your linear model to estimate the amount of water lost (in mL) by a player who has been playing for 45 minutes.
9. In a simple regression, which would suggest a significant relationship between X and Y? A) Large p-value for the estimated slope B) Large t statistic for the intercept C) Small p-value for the slope D) Small t statistic for the slope
Given the data as shown in the table below X Y 56 0.86 44 0.93 68 0.85 76 0.87 94 0.73 a) Using �^=-0.0034�^+1.0798 as the equation of the "Best-Fit" line. Calculate the residuals, �-�^, of this data:�1=56, �1-�^1 = . Round your answer to 4 decimal places.�2=44, �2-�^2 = . Round your answer to 4 decimal places.�3=68, �3-�^3 = . Round your answer to 4 decimal places.�4=76, �4-�^4 = . Round your answer to 4 decimal places.�5=94, �5-�^5 = . Round your answer to 4 decimal places.b) Using the formula��=�12+�22+⋯+��2�-2calculate the standard deviation, ��, of all residuals.��= . Round your answer to 4 decimal places.
Suppose that a regression yields the following sum of squares: Σ(yi−y¯)^2 = 400, Σ(yi−y^i)^2 = 60, Σ(y^i−y¯)^2 = 340 Then the percentage of the variation in y that is explained by the variation in x is: Answer = %
7. The chart comes from the diamonds dataset, and shows the relationship between the carat and price variables for the lowest quality diamonds. The exation for the regression line is y-4234r-2158. 15000- (c) 10000- carat Give an interpretation of the intercept here; is it meaningful? (b)) Give an interpretation of the slope here; is it meaningful? >What is the residual for the point (1.17,2774)?
how is the 0.071s^2 + 0.389s + 0.727 was computed through regression? can someone explain?
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. 22) x 24 26 28 30 32 y 15 13 20 16 24 ^ A) y = -11.8+ 1.05x C) y = 11.8+ 1.05x B) y = 11.8+ 0.950x D) y = -11.8+0.950x 22)
For10 observations on supply (X) and price (Y) the following data are obtained ΣΧ-130, ΣΧ-2280, ΣΥ-5506 , ΣΧΥ-3467, ΣΥ-220 Obtain regression line Y on X and estimate supply when price is 16.
Given the data as shown in the table below X Y 56 0.86 44 0.93 68 0.85 76 0.87 94 0.73 a) Using �^=-0.0034�^+1.0798 as the equation of the "Best-Fit" line. Calculate the residuals, �-�^, of this data:�1=56, �1-�^1 = −0.0292Incorrect . Round your answer to 4 decimal places.�2=44, �2-�^2 = 0.0000Incorrect . Round your answer to 4 decimal places.�3=68, �3-�^3 = 0.0016Incorrect . Round your answer to 4 decimal places.�4=76, �4-�^4 = 0.0488Incorrect . Round your answer to 4 decimal places.�5=94, �5-�^5 = −0.0300Incorrect . Round your answer to 4 decimal places.b) Using the formula��=�12+�22+⋯+��2�-2calculate the standard deviation, ��, of all residuals.��=0.0371Correct . Round your answer to 4 decimal places. Question HelpQuestion 4: Message Message instructor Submit QuestionQuestion 4
You have obtained measurements of height in inches of 29 female and 81 male students (Studenth) at your university. A regression of the height on a constant and a binary variable (BFemme), which takes a value of one for females and is zero otherwise, yields the following result: = 71.0 – 4.84×BFemme , R2 = 0.40, SER = 2.0 (0.3) (0.57) Values in parenthesis are standard errors. (a) What is the interpretation of the intercept? What is the interpretation of the coefficient of the dummy variable? How tall are females, on average? (b) Test the hypothesis that females, on average, are shorter than males, at the 1% significance level.

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