Q.2 Since outbreak of COVID-19 pandemic insurance companies started spending on Advertisement of Corona Kavach policy to enhance the revenue due to rising number of cases in India. The data below explains the advertising expenditure and revenue of seven companies. a) Is there any association between advertising expenditure and revenue earned ? b) Use the data to develop a regression line to predict the amount of advertising by revenues? c) What is your interpretation from the calculations in part a and b respectively? |Name of company Birla Sunlife Bharti Axa Religare Health care Маx Bupa Reliance health care HDFC ergo United Insurance Advertising (in Rs.) 1073 Revenues (in Rs.) 408.2 4898 3345 3296 2822 79.7. 123.0 104.6 107.8 2577 829 118.3 114.6

Q.2 Since outbreak of COVID-19 pandemic insurance companies started spending on Advertisement of Corona Kavach policy to enhance the revenue due to rising number of cases in India. The data below explains the advertising expenditure and revenue of seven companies. a) Is there any association between advertising expenditure and revenue earned ? b) Use the data to develop a regression line to predict the amount of advertising by revenues? c) What is your interpretation from the calculations in part a and b respectively? |Name of company Birla Sunlife Bharti Axa Religare Health care Маx Bupa Reliance health care HDFC ergo United Insurance Advertising (in Rs.) 1073 Revenues (in Rs.) 408.2 4898 3345 3296 2822 79.7. 123.0 104.6 107.8 2577 829 118.3 114.6

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

Note. Please give me correct and detailed information regarding my question. I have posted my question so many times. Please don't copy previously given Answer i will respond to your Answer. Thank you . One type of cookie manufactured by Haddad Food Company is Cocoa Cookies. The machine that fills packages of these cookies is set up in such a way that the average net weight of these packages is 32 ounces with a variance of .015 square ounce. From time to time the quality control inspector at the company selects a sample of a few such packages, calculates the vari- ance of the net weights of these packages, and constructs a 95% confidence interval for the population variance. If either both or one of the two limits of this confidence interval is not in the interval .008 to .030, the machine is stopped and adjusted. A recently taken random sample of 25 packages from the production line gave a sample variance of .029 square ounce. Based on this sample information, do you think…
Forest bathing, also called Shinrin-yoke, is the practice of taking short, leisurely walks in a forest to enhance positive health. To test if forest bathing and mood are related, a clinical psychologist records the time spent forest bathing in minutes (X) and the corresponding change I mood using a standard self report affect grid (Y) among 8 patients with a history of depression. The data are given in the following table. times spent forest bathing (in minutes) change in mood X Y 32 +24 24 +20 28 +25 17 +22 12 +16 Compute the method of least squares to find the equation of the regression line. Use the regression equation computed in part (a) to determine the predicted change in mood of a person who spends 20 minutes forest bathing.
7. One of advantages of multiple regression is that it allows us to examine the effect of an exposure variable on the outcome variable while adjusting for no other variable in the model. A. TrueB. FalseC. None of the above 8. The particular method of analysis in a research study depends on: A. Research questionB. Study designC. Level of measurementD. All of the aboveE. A and B only 9. Reviewing relevant literature exposes the researcher to specific designs used by previous researchers. A. TrueB. FalseC. None of the above
Table 3: Significant Influence between Management Capability of Administrators and Productivity of Employees Leadership Skills Productivity of Employees Beta t-value p-value Skills .624** 1.56 .000 Knowledge .456** 4.25 .000 Aptitudes .552** 4.22 .000 R2 =.639 Evalue=6.45 p value=.000 Present, analyze and interpret the data. Make inference at the end of your discussion
The following data relate to marks in Advanced Accounts and Business Statistics in B.Com. (H.), Il yr Examination of a particular year in Delhi University : Mean Marks in Advanced Accounts Mean Marks in Business Statistics Standard Deviation of Marks in Advanced Accounts Standard Deviation of Marks in Business Statistics Coefficient of Correlation between the Marks in Advanced Accounts and Business Statistics Find the two regression lines and calculate the expected marks in Advanced Accounts if the marks secured by a student in Business Statistics are 40. = 30 = 35 = 10 = 7 = 0-8
The Minitab output shown below was obtained by using paired data consisting of weights (in lb) of 31 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a car weight of 4000 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the linear correlation coefficient. (Be careful to correctly identify the sign of the correlation coefficient.) Given that there are 31 pairs of data, is there sufficient evidence to support a claim of linear correlation between the weights of cars and their highway fuel consumption amounts? Click the icon to view the Minitab display. The linear correlation coefficient is (Round to three decimal places as needed.) Is there sufficient evidence to support a claim of linear correlation? Yes O No Minitab output The regression equation is Highway = 50.8 -0.00508 Weight Predictor Coef SE Coef T P Constant 50.772 2.793…
I know the answer between choice I) and choice II) is: I) But why is it choice I)?
Assume the professor of a particular course is male, and interpret the coefficient on FemaleStudent. What is the predicted difference in performance between a female student and a male student? What's the magnitude of the coefficient?
The full question for the last question is written down below Fail/fail to reject H0. There is insufficient/sufficient evidence at the 10% level of significance to support the claim that there is a linear relationship between weight and number of hours slept.
The following data represent the speed at which a ball was hit (in miles per hour) and the distance it traveled (in feet) for a random sample of home runs in a Major League baseball game in 2018. Complete parts (a) through (f). Click here to view the data. Click here to view the critical values of the correlation coefficient. (a) Find the least-squares regression line treating speed at which the ball was hit as the explanatory variable and distance the ball traveled as the response variable. y = 5x+ (5 (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Begin by interpreting the slope. A. The slope of this least-squares regression line says that the distance the ball travels increases by the slope with every 1 mile per hour increase in the speed that the ball was hit. O B. The slope of this least-squares regression line shows the increase in the speed that the ball was hit with every 1 foot increase in the distance that the ball was hit.…