d) Suppose you have obtained the following scatter plot when a response variable Y isregressed on an explanatory variable, X. Based on the plot, what kind of transformationdo you think would appropriate which is related to plot in (b)?Scatter Plot for Concentration of Solution over Time1.8.ㅇTimeConcentration00

Solution The scattered plot shows the time and concentration.

Answered: d) Suppose you have obtained 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

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Plot the appropriate Graph. Here, objective is to show the linear relationship between the sales of the product and amount spent in advertisement of a certain product. Based on the graphical output write your comment on linear association between these two variables Region No. Sales (000' INR) Amount Spent in Advertisement (000' INR) 1 260.3 5 2 286.1 7 3 279.4 6 4 410.8 9 5 438.2 12 6 315.3 8 7 565.1 11 8 570 16 9 426.1 13 10 315 7 11 403.6 10 12 220.5 4 13 343.6 9 14 644.6 17 15 520.4 19 16 329.5 9 17 426 11 18 343.2 8 19 450.4 13 20 421.8 14 21 245.6 7 22 503.3 16 23 375.7 9 24 265.5 5 25 620.6 18 26 450.5 18 27 270.1 5 28 368 7 29 556.1 12 30 570 13 31 318.5 8 32 260.2 6 33 667 16 34 618.3 19 35 525.3 17 36 332.2 10 37 393.2 12 38 283.5 8 39 376.2 10 40 481.8 12
Data Set: {(−3,4), (−2, 3), (−1, 3), (0, 7), (1, 5), (2, 6), (3, 1)} 1. The regression line is: y = -2 FS 0.3 Your Turn: Data Set 2 2. Based on the regression line, we would expect the value of response variable to be 0.005 4. If x= -3.5, the y = 1 when the explanatory variable is 0. 3. For each increase of 1 in of the explanatory variable, we can expect a(n) decrease of 1 in the response variable. ovemple of F6 evtrannlation X O Search MALERINION 8 *. This is an g prt sc home
The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spends money on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's total monthly sales (in millions of dollars). X1 = money spent on television advertising (in 1000's of dollars) X2 money spent on promotion (i.e., free samples) X3 = money spent on newspaper advertising (in 1000's of dollars) X4 average discounts offered to retail outlets (in %) Using data from the previous 18 months, the company decides to collect data on 6 of the independent variables to use in a multiple regression model for estimating monthly sales. If the R´ for this model is 0.93, fill in the missing entries in the ANOVA table associated with this model. Do all calculations to at least three decimal places.
Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2=0.12, (b) R2=0.90, (a) Scatter diagram . (b) Scatter diagram . (c) Scatter diagram
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A chemistry experiment is performed measuring the solubility of potassium chloride (KCl) in water at different temperatures. The goal was to determine if there is a linear relationship between the temperature of the water and how much KCl can dissolve, measured as grams per 100 milliliter (g/100mL). After the experiments were performed, the following data was collected with temperature being the independent x-variable and solubility being the dependent y-variable: Temperature (°C) x Solubility (g/100mL) y 10 31 20 33 30 37 40 41 50 42 Based on the data given for temperature and solubility of KCl and without doing any math yet, which of the following do you predict would best describe the relationship between these variables? A positive linear relationship (r close to 1) A positive linear relationship (r close to -1) A negative linear relationship (r close to 1) A negative linear relationship (r close to -1)…
For10 observations on supply (X) and price (Y) the following data are obtained ΣΧ-130, ΣΧ-2280, ΣΥ-5506 , ΣΧΥ-3467, ΣΥ-220 Obtain regression line Y on X and estimate supply when price is 16.
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Which of the following is the equation of the relationship between the predictor variable (x) and the response variable (y)? A y = 25.707 + 0.9887xB y = 29.796 + 0.5897xC y = 25.707 + 0.5897xD y = 29.796 + 0.9887x
Using the data in the first image can you give me answers to questions in 2nd image(4,5,6).Can you plz atleast explain how to do 5&6 (6 is the main one) plz help......
The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spends money on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's total monthly sales (in millions of dollars). X 1 = money spent on television advertising (in 1000's of dollars) X2 = money spent on promotion (i.e., free samples) X3 money spent on newspaper advertising (in 1000's of dollars) = average discounts offered to retail outlets (in %) Using data from the previous 16 months, the company decides to collect data on 2 of the independent variables to use in a multiple regression model for estimating monthly sales. If the R for this model is 0.81, fill in the missing entries in the ANOVA table associated with this model. Do all calculations to at least three decimal places.
This activity demonstrates how to create graphics to enhance the presentation of quantitative data Scenario The sales manager for a small manufacturer is interested in marketing the company's rain coat line in a new area of the country. As a first step to establishing a marketing plan she has asked you to produce some graphs showing the market share of the products sold over the past several years in the region. Analysis After some research, you acquire the approximate sales for each of the competing products presently in the region under consideration (See the data given below). The question now is to show how best to organize the data to take advantage of a graphical analysis. Pie charts give a quick overview of the market share "slices” each competitor presently enjoys. So you decide to use a pie chart to graph the most recent year's sales data for the region. This will give a good indication of just who the market leaders are and how crowded it is at the top. Next, you decide to…

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