合日ちび白区Dw SAQ. Search in DcInsertDesignLayoutReferencesMailingsReviewVieneDrawCalibri (Body)12A A- abe X2 x²Given the following data:1015203035Y65.76 88.43 122145 152.6 200.4Find the Least Square Fit - Linear Fit. And thensolve the value of ao.O 14.76895O 5.078343O 0.9722O 0.986025

Given data, X Y X*Y X*X 10 65.76 657.6 100 15 88.43 1326.45 225 20 122 2440 400 25 145…

Answered: Given the following data: 10 15 20 25…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Determine the best (according to sum-of-squares-measure) curve y = ax2, through the dataabove.
A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President 185 170 179 191 194 179 9 Height (cm) of Main Opponent 170 184 174 166 194 182 Identify the test statistic. t= 0.57 (Round to two decimal places as needed.) Identify the P-value P-value = 0.286 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is greater than the significance level, fail to reject the null hypothesis. There is not sufficient evidence to support the claim that presidents tend to be taller than their opponents. b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval…
Show all work. Solve using R.
-10 Drag and drop the correct answers into each of the following containers. Given: ARST - AJLK K 6. 24 12 15 JK = Perimeter of AJLK = : 51 :: 25.5 : 12 :: 7.5 hp 大 4 6. 7. 8. %#3
A fisherman has collected data about the length in inches, L, and weight in ounces, w, of fish he has caught. The resulting line of best fit for the data is w=−37.1+3.2L. Would predicting the weight of a 26-inch fish be interpolation or extrapolation? Explain. L 13 14 15 16 18 21 23 23 w 3 10 10 15 20 35 38 45 Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is outside the range of the lengths in the data. Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is inside the range of the lengths in the data. Using the model to predict the weight of a 26-inch fish is extrapolation because 26 inches is inside the range of the lengths in the data. Using the model to predict the weight of a 26-inch fish is interpolation because 26 inches is outside the range of the lengths in the data.
How did they get this answer?
please solve quickly
Given the following summary information, calculate the value of the y-intercept for the least squares line. Enter your answer to two decimal places. Hint: You will need to find the slope estimate first. = 12; Σ x = 27; %3D Σ y = 36.8; %3D Σ x2 = 74; Σ ху 3D 96
Use the least squares method to find the slope of the line of best fit for the data set below. Round to three decimal places. x 67 28 26 47 86 32 15 70 y 46 34 33 38 46 37 35 44 −4.430 4.430 −0.202 0.202
5) Using the method of Least Squares, determine the value of y when x = 3.0 in the equation y = Ae By using the given data: X 2.07 8.60 14.42 15.80 y 2 13 4
You are given the following information about y and x The least squares estimate of b0 equals A. - 0.7647 B. - 0.4118 C. None D. 16.4118 E. 0.7647
Show necessary calculation/justification for each answer. a) In regression analysis, the residuals represent the:a. difference between the actual y values and their predicted values.b. difference between the actual x values and their predicted values.c. square root of the slope of the regression line.d. change in y per unit change in x. b) The least squares method for determining the best fit minimizes:a. total variation in the dependent variableb. sum of squares for errorc. sum of squares for regressiond. All of these choices are true. c) The regression line has been fitted to the data points (4, 8), (2, 5), and (1, 2).The sum of the squared residuals will be:a. 7b. 15c. 8d. 22

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Given the following data: 10 15 20 25 30 35 Y 65.76 88.43 122 145 152.6 200.4 Find the Least Square Fit Linear Fit. And then solve the value of ao.