Question 4The Apparel Co. Ltd. has been using television advertisements to advertisehoir new clothing line for the past 12 mmonths. The sales manager wants toassess the effect of these advertisements on sales for the last 12 months. Youre to consider sales amount as the dependent variable and the number ofadvertisements as the independent variable. The sales amount (in '000) andthe number of advertisements are shown below.Monthly $ales and Advertising at The Apparel Co. LtdNo of Advertisements1923302420263436MonthAmount in sales in '0001607869471839.7479981002564103198112781122777Using excel, complete the following tasks:Note: Summit a copy of the regression output with your answer.a) Show the above data on a scatter plot and include the regression line.Label the graph and líne completely (b) What is the average sales across all months of advertising?(c) Identify r-squared on the regression output and interpret what it meansin this scenario.d) Identify the 95% contidence interval for B(e) Identify the 99% confidence interval for B (-f) Identify the standard deviation of error at the 1% level of significance (1g) Test at the 1% significance level whether the slope of the regressionline is positive. Identify all steps in your analysis and make a completeand relevant decision. (

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Answered: Question 4 The Apparel Co. Ltd. has…

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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please answer the question 1a,b&c and show work!! thank you also please make sure if writing on paper handwriting can be read thank you again :)
Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink. Shelia's measured glucose level one hour after the sugary drink varies according to the Normal distribution with µ = 124 mg/dl and σ = 13 mg/dl. If a single glucose measurement is made, what is the probability that Shelia is diagnosed as having gestational diabetes?
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If another variable systematically co-varies with the independent variable, then we likely have an extraneous variable b. a dependent variable an ex post facto design a confounding variable
For each of the following pairs of variable, identify the dependent and independent variable.
Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 128 mg/dl and standard deviation 9 mg/dl. Let ? denote a patient's glucose level. (a) If measurements are made on four different days, find the level ? such that there is probability only 0.01 that the mean glucose level of four test results falls above ? for Shelia's glucose level distribution. What is the value of ??ANSWER: (b) If the mean result from the four tests is compared to the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational…
I need help phrasing a quantitative research question. The topic is on Health, it is focused on Widowed Americans as the dependent variable, and their quality of life (Excellent - Poor)as the independent variable. An overlapping variable would be sex (male - female).
A doctor notes the variables listed in the following table from every patient before admitting in his hospital. Which of the following variables are qualitative and which are quantitative? Which qualitative variables are nominal or ordinal? Which quantitative variables are discrete or continuous? ( 1 ) Gender (Male or Female) ( 2 ) Weight (lbs) ( 3 ) Phone Number ( 4 ) Height (cm) ( 5 ) Marital Status (Single, Married, Divorce, Widow) ( 6 ) Systolic Blood Pressure (mm of pressure) ( 7 ) Temperature (degree F) ( 8 ) Level of Calcium (microgram/milimeter) ( 9 ) Family of Income ( Amount) ( 10 ) Wihte Blood Cells
Bloomberg Intelligence listed 50 companies to watch in 2018 (www.bloomberg.com/features/companies-to-watch-2018). Twelve of the companies are listed here with their total assets and 12-month sales. Total Assests ($ billions) 134.47 12-Month Sales ($ billions) Total Assests ($ billions) 12-Month Sales Company Eni SpA Discovery Communications Dong Energy Company AMC Entertainment ($ billions) 68.13 6.59 9.81 4.19 16.15 DSV 6.14 10.54 20.5 Alaska Air Boohoo.com 9.16 10.7 6.9 AMD 3.37 4.62 0.235 0.545 25.11 Cabot Oil & Gas 5.22 1.58 Danone 52.12 Engie 166.84 72 Experian 7.69 4.34 E Click here for the Excel Data File a. Draw a scatter diagram. 1. On the graph below, use the point tool to plot the point corresponding to the first Sales and her Earnings Sales1). 2. Repeat the process for the remainder of the sample (Sales 2, Sales 3, ... ). 3. To enter exact coordinates, dooble-click on the point and enter the exact coordinates of x and y. Tools 90 80 point 2 point 3 70 Ch13_40 18e.xlsx…
A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
+22. The coefficient of rank correlation between the debenture prices and share prices of a company was +0.8. If the sum of the squares of the difference in ranks was 33, find the value of n. 1.-

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