spent on advertising we can expect sales to increase by an average of 0.1227 dollars d) 0.87092 87% of variance in sales is predictable by amount spent on advertising. e) No. The histogram of residuals is evenly distributed around zero. Most error are at or close to zero f) Yes. Points in the residual plot is lying on a curve around zero. A pattern is seen. (Cheng-Few, John, Alice, 2013, p.800). This indicates that the model is not satisfactory. g) -4.9913+0.1227*90000 =$11038.0087
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spreturn ~ usratio) Residuals: Min 1Q Median 3Q Max -0.13343 -0.01206 0.00430 0.01842 0.06994 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.006738 0.002406 2.800 usratio 0.347598 0.051016 6.814 0.00568 ** 1.48e-10 *** --Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Residual standard error: 0.03197 on 175 degrees of freedom Multiple R-squared: 0.2097, Adjusted R-squared: 0.2051 F-statistic: 46.42 on 1 and 175 DF, p-value:
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Executive Summary After looking the PGA golf data, yes it is possible to determine the performance measures of the players average score. In this problem the PGA Tour is trying to figure out whether any of these variables (Drive Distance, Drive Accuracy, GIR, Sand saves, PPR, and scrambling) are significant in relation to the original regression equation. Since the P-value of drive accuracy (.96737), drive distance (.05879), and sand saves is greater than the alpha P-value of .05, these are
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Quantitative Research Methods Term Project - Childhood Obesity Purpose Statement The purpose of this project is to determine the effect of physical activity, dietary patterns, and family/environmental factors on children with the overall outcome of obesity. The dependent variable childhood obesity is determined by independent variables physical activity, dietary patterns, and family/environmental factors. The most important independent variable in this relationship is physical
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Week 1 homework chapter 1 1. we have: Cf= 55000, cv= 8, p= 21; v= 10 000 a. Total cost TC = cf + v*cv TC= 55000+ 10000*8 TC= $135000 Total revenue TR= v*p TR= 10000*21 TR=$ 21000 Profit Profit= TR-TC Profit= TR-TC P= 21000-135000 P= $ -114 000 b.Break even volume, V= cf/ (p- cv) V= 55000/ (21- 8) V= 4230.77 recap tires, 2. monthly break even volume V= cf/ (p- cv)
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AT&T Introduction AT&T revenue has large jumps in revenue followed be fairly stagnant numbers afterwards. There is visible cycle, but not really much seasonality to speak of. Problem AT&T has been unable to show any substantial growth except when the company acquisitions another company. While this method has appeased investors up till this point, there is only so many times this can happen until something breaks. Either there will be no options for acquisitions or the government
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Unit 5 – Regression Analysis Lakeia White American InterContinental University Abstract According to NLREG, “the goal of regression analysis is to determine the values of parameters for a function that cause the function to best fit a set of data observations that you provide.” (NLREG) As one continues to read one will find several different regression test that has been processed from AIU data set to assist them with their study on job satisfaction around the world. Introduction
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most recent data. Calculate the mean absolute deviation (MAD) and the cumulative sum of forecast error (CFE) for each forecasting procedure. Which forecasting procedure would you select? Why? Month Demand 1 45 2 48 3 42 4 48 5 49 6 54 7 47 8 50 9 46 10 47 Answer: Month Demand Exponential Error Absolute Deviation Simple Moving Average Error Absolute Deviation Weighted Moving Average Error Absolute Deviation Smoothing 1 45 2 48 3 42
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1. (TCO B)____________ is not a function of a data link protocol. (Points: 5) Media access control Message delineation Amplitude shift keying Indicating when a message starts and stops Error control 802.11g 2. (TCO B)With contention: (Points: 5) computers wait until the circuit is free before they send data the server or front end processor works consecutively through a list of clients to determine who should have access to
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CASE STUDY: 1 The bulbs manufactured by a company gave a mean life of 3000 hours with standard deviation of 400 hours. If a bulb is selected at random, what is the probability it will have a mean life less than 2000 hours? Question: 1) Calculate the probability. 2) In what situation does one need probability theory? 3) Define the concept of sample space, sample points and events in context of probability theory. 4) What is the difference between objective and subjective probability
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