2.The data below obtained from the experiment:1.51.82.42.73.23.6f(a) 0.7555 0.6206 0.5052 0.4812 0.4498 0.4337This data can be fitted to the curve ywhere C and D areC + Drconstants.a. Show that the curve above can be written as1= D+b. Hence, by using the least squares linearization process, determinethe value of C and D. Start your calculation withS =E( -Y(X.))where S is the total squares error.c. Estimate the value of f(2.5) based on the results obtained in part(b).

In linear regression method, the dependent variable y is estimated by a linear function of…

Answered: The data below obtained from the…

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

Kindly solve it Asap!
You have the following data points which belong to a function of the form y = aei, where b can be positive or negative. 34.1 11.6 9.38 2.00 4.00 5.00 You wish to determine the value of the constant, b, and to do so you will construct a linear plot. What will you plot against what? Y-axis label: x-axis label: From the values of x and y in the table above, calculate the values of the three corresponding data points. Click on use the "Freeform Curves" tool to plot the data. Line segments will automatically connect the points. graph belo Enter Solution What is the numerical value of the constant, b? Previous Next b =
2. The data below obtained from the experiment: 1.5 1.8 2.4 2.7 3.2 3.6 f(x) | 0.7555 | 0.6206 | 0.5052 0.4812 0.4498 | 0.4337 This data can be fitted to the curve y = where C and D are C + Dx constants. a. Show that the curve above can be written as D+-. b. Hence, by using the least squares linearization process, determine the value of C and D. Start your calculation with S= ΣΥ- Y(X)> i=0 where S is the total squares error. c. Estimate the value of f (2.5) based on the results obtained in part (b).
# 1 Given the data as shown in the table below X Y 3.8 | 9.8 2.5 8.8 4.1 9.7 0.9 7.5 2.4 9.6 The correct equation of the "Best-Fit"/Regression line associated with the given data above would be Oŷ = 0.6742z + 7.2326 Oy = 0.6742z + 7.2326 Oy = 0.67427 + 7.2326 Oŷ = 0.67427 + 7.2326 Oŷ = 7.23262 + 0.6742 Note: Round all coefficients to four decimal places.
A score S is used to predict whether a disease is present. If the score is greater than a threshold value, the corresponding person is classified as ill, otherwise as healthy. Here, the scores S; for 9 persons are given. Furthermore, it is known whether the persons are actually ill (Y, = 1) or not (Yi = 0). The data look as follows: S; | Y; 0.3 0 1.2 1 0.7 0.8 1 0.1 0.4 1 1.1 0 0.2 0 1.4 1 (a) Draw by hand the ROC curve for the given data. Explain your procedure and the calcu- lation methods. (b) Calculate the area under the curve (AUC) by hand. Does this value indicate a good or bad classification? (c) Calculate the partial area under the curve (PAUC) if the specificity is to be at least 0.65. How do you judge this value?
Given below are the ages and heart rates of 50 patents aho participated in a dinical tral for a new ant-hypertersive drug A a Graphicaly, what can you conclude about the relationship between age and heart rate? B. b. Test the hypothesis that p= 0 against the altemative that p0 at the 0.05 level of significance| Heart Rate (y) 100 76 Patient No. Age Patient No. Age Heart Rate 1 48 26 39 72 2 45 27 56 70 3 67 70 28 51 76 4 44 72 29 41 68 57 62 64 30 31 32 49 76 70 79 92 72 70 76 53 58 60 62 33 67 76 47 34 54 68 37 76 86 10 84 35 49 11 52 90 36 54 12 66 90 37 44 81 13 33 80 38 69 72 14 30 68 39 45 80 15 41 72 40 39 80 16 52 74 41 37 72 17 40 30 76 42 45 52 86 18 88 43 72 19 35 84 44 44 76 20 49 70 45 28 39 76 21 62 51 72 68 46 74 68 22 47 49 72 23 41 76 48 80 24 55 70 49 52 80 25 63 68 s0 27 82
Consider the data on climate change below: Variable Intercept CO2 Coefficient SE(Coeff) 0.1584 0.0004 T-ratio -20.1 22.1 P-value |-3.17933 <0.0001 <0.0001 0.00992 s=0.0885 with 58-2=56 degree of freedom. R squared = 89.7%. The response variable is temperature. %3D Then CO2 level for this data is 352.6ppm. a) Find a 90% confidence interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. b) Fina a 90% prediction interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. c) The goal of the Paris climate agreement is to a temperature anomaly of about 1.3degC in our data. If CO2 level do reach 450ppm, would this be a plausible value?
The image shows the estimation of the model with quarterly car sales in the U.S. from 1975 to 1990. Based on the parameter estimates, what is the predicted effect of a 10% increase in price on the number of cars sold? What would be the effect of that price increase on the value of car sales?
i keep getting this one wrong - can you detail how to break this down...
3q
HW22: Please help me answer all sections
R2

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