QUESTION 1Table Q1 shows the revenue of XYZ Company from radio advertisement in 2021.a) Produce the best fit equation relationship between revenue vs advertisement.b) Plot data on a graph paper and draw a best linear fit revenue vs advertisement.c) Determine the linearity uncertainty/error eL(x) and eL(x)max.d) Determine percentage of maximum linearity uncertainty/error %eL(x)max. Table Q1Radio adsRevenueMonth(Times)(RM)January2183500February180227550March50134550AprilМay19521100096150000June44125000JulyAugust171207000135197220SeptemberOctober12016115075131000November106156700December198253000

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Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 91E

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If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?
In Step 2: Construct an estimated simple linear regression model how did you come up with the column X*X ?
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The estimated regression equation for a model involving two independent variables and 10 observations follows.
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A value of r close to _______ suggests at most a weak linear relationship between the variables.
Exercise 9.13 presents a regression model for predicting the average birth weight of babies based on length of gestation, parity, height, weight, and smoking status of the mother. Determine if the model assumptions are met using the plots below. If not, describe how to proceed with the analysis.
On the second sheet is data which shows the rate of growth of a particular patch of bamboo vs daily high temperature.(a) Construct a scatterplot, including the equation of the line of best fit and value of R2.(b) What would the predicted growth rate be for a day with a temperature of 84◦?(c) Is there evidence, at α = 0.01, to support a claim that there is a linear relationship between temperature and growth rate? Please state clearly the null hypothesis, the alternative hypothesis, and what decision you make.
Table 4.18 shows estimated effects for a fitted logistic regression model with squamous cell esophageal cancer (1 = yes, 0 = no) as the response variable Y. Smoking status (S) equals 1 for at least one pack per day and 0 other- wise, alcohol consumption (A) equals the average number of alcoholic drinks consumed per day, and race (R) equals 1 for blacks and 0 for whites. A. To describe the race-by-smoking interaction, construct the prediction equation when R = 1 and again when R = 0. Find the fitted YS conditional odds ratio for each case. Similarly, construct the prediction equation when S = 1 and again when S = 0. Find the fitted YR conditional odds ratio for each case. Note that, for each association, the coefficient of the cross-product term is the difference between the log odds ratios at the two fixed levels for the other variable. B. In Table 4.18, explain what the coefficients of R and S represent, for the coding as given above. What hypotheses do the P -values refer to for…

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Table Q1 shows the revenue of XYZ Company from radio advertisement in 2021. a) Produce the best fit equation relationship between revenue vs advertisement.