The large national bank charges local companies for using theirservices. A bank official reported the results of a regression analysidesigned to predict the bank's charges (Y), measured in RM permonth for services rendered to local companies. One independentvariable used to predict service charge to a company is the thecompany's sales revenue (X), measured in millions of RM. Data for 21companies who use the bank's services were used to fit the model.The results of the simple linear regression are provided below. Basedon results below, a 95% confident interval for B is (15,30). Interpretthe interval. *ŷ = -2,700 + 20XSxy = 65,two – tailed p – value = 0.034 (for testing BWe are 95% confident that the sales revenue (X) will increase between RM15and RM30 million for every RM1 increase in service charge (Y).We are 95% confident that the mean service charge will fall between RM15 andRM30 per month.We are 95% confident that the average service charge (Y) will increase betweenRM15 and RM30 for every RM1 million increase in sales revenue (X).At the alpha = 0.05 level, there is no evidence of a linear relationship betweenservice charge (Y) and sales revenue (X).

Here Given Regression equation for Banks service charge(Y) and Company Sales Revenue (X) Y= -2700 +…

Answered: The results of the simple linear…

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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A researcher was interested in investigating whether the parent-child interaction time (in hours) is a predictor of a child's cognitive development. A sample of 9 children shown their parent-child interaction time and cognitive tests scores as below. 1. Base on the regression equation, estimate the predicted cognitive level for a child whose parent interacts with him 6 hours per day?
no in Excel It is required to use the data given in the table to estimate the parameters of the simple linear regression equation by any of the estimation methods:
** had to resubmit this question because the first time the data was duplicated and reflected incorrectly. The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 1 2 3 4 5 5.5 6 Overall Grades 96 89 87 77 76 68 64 **Please circle the answer for each step so I don't get confused. Thanks in advance for helping me with the breakdown and notes** Step 1 of 6 : Find the…
A researcher is hired to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance in miles between home and work for the employees. A sample of 10 employees was chosen and the results are listed in the chart below. Use the proper Data Analysis function in Excel to computethe regression equation needed to predict the number of missed days that could be expected foremployees who live certain distances away from the workplace. Distance to Work (miles): 1, 3, 4, 6, 9, 10, 12, 14, 14, 18 Number of Days Absent: 9, 6, 7, 7, 6, 4, 5, 3, 4, 2
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The results of the simple linear regression are provided below. Based on results below, a 95% confident interval for B is (15,30). Interpret the interval. *