1. evaluate s^22. Construct a 95% confidence interval for α3. Consturct a 95% confidence interval for β 11.5 A study was made on the amount of convertedsugar in a certain process at various temperatures. Thedata were coded and recorded as follows:Temperature, e1.0Converted Sugar, y8.17.88.51.11.21.39.81.49.51.58.91.61.78.610.21.89.31.99.22.010.5

Introduction: The response variable, y is the converted sugar, and the predictor variable, x is the…

Answered: 11.5 A study was made on the amount of…

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) Determine 99% confidence limits for beta(symbol couldn't write) (the slope of the regression line) and alpha (the intercept of the regression line). b) 34. Determine 99% prediction limits for Y when X = 41.7 and 95% prediction limits for Y when X = 61.5. c) draw a scatter plot.
Find the critical value zα/2 needed to construct a(n) 98.3% confidence interval.
Stock Y has a beta of 1.2 and an expected return of 11.4%. Stock Z has a beta of 0.80 and an expected return of 8.06%. If the risk-free |%, respectively. (Do not round intermediate rate is 2.5% and the market risk premium is 7.2%, the reward-to-risk ratios for stocks Y and Z are and Stock Z is overvalued |and Since the SML reward-to-risk is calculations. Round the final answers to 2 decimal places.) 1%, Stock Y is undervalued
Import the data from the Hill City Excel file into Minitab.You are trying to predict Price.Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each.5. Run the residual plots and indicate if they show any problems with the model.
1.To determine which of the two models above – BIG or small – is statistically superior at the .05 level, please calculate the appropriate F-statistic (4 decimal places). 2. How many degrees of freedom are there?
A telephone poll of 841 adult Americans was reported in an issue of Time Magazine. One of the questions asked was, "What is the main problem facing the country?" Forty percent answered, "crime." Construct a 88% confidence interval for the population proportion of Americans who feel that crime is the main problem.p'=α2=zα2=Margin of Error: E=We are 88% confident that the proportion of Americans who feel that crime is the main problem is between____ and ____.
Your company has developed a probability of purchase model based upon the number of promotions to which a customer has been exposed. The dependent variable is the probability that a customer will make a purchase within the following week (0-1). The independent variable is the number of promotions to which the customer has been exposed over the past month.. The model appears as follows: Probability of Purchase = .2 + .075 (# of promotions exposed in past month) Interpret the associated 95% confidence interval if it is .4 - .6. Interpret the associated 95% prediction interval if it is: .35 - .65.
Use the AustStates data. Perform a repeated measures ANOVA using the 9 years as the paired variables and the states as the observations. Based on the Greenhouse-Geisser p-value of p=0.130, sphericity can be assumed for these data. The result of the analysis is F=9.563 on degrees of freedom, for a p-value of You the null hypothesis. 8 and 56, p<0.001, reject 8 and 56, p<0.001, fail to reject 1.0 and 7.3, p=0.016, reject 1.0 and 7.3, p=0.016, fail to reject
AutoSave ff inclass_continuous Search (Alt+Q) Robert Krnic File Home Insert Draw Page Layout Formulas Data Review View Help O Comments A Share - 11 General A Conditional Formatting E Insert Σ Calibri $ • % E Format as Table v X Delete Paste В U A Analyze E Cell Styles v Format v Data .0 Undo Clipboard Font Alignment Number Styles Cells Editing Analysis 28 Decrease Decimal 58 Increase Decimal J15 :X V fx A B C E F H | J K L M N P 1 P(Z2)= 2 3 Find z such that the area between -z and z is 95%. 4 6 Find z such that the area between -z and z is 90%. 7 8. 9. 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 t-distribution Normal Z-distribution Ready Accessibility: Good to go + 100% 9:09 AM w 3/2/2022 日。围
Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x1 = 290 and s1 = 12, and another random sample of 16 gears from the second supplier results in x2 = 304 and s2 = 22. Construct a confidence interval estimate for the difference in mean impact strength lower value of the 95% CI of μ2−μ1μ2−μ1? Please report your answer to 2 decimals.
Suppose you esimated a model that regressed the volume of put and call options traded on the S&P 500 on a measure of overnight news, VOLi = ∝ + βNEWSi + εi. Your statistical pacage returned a 90% confidence interval for β of [0.32,1.89] Is β statistically significant when using a 5% test ?
For the general population, the average fatigue level is μ = 50. A researcher is testing the hypothesis that engaging a meditation exercise reduces employee fatigue. A sample of n = 30 participants is obtained, and each participant engaged in a meditation exercise for 20 minutes at work each workday for a month. This sample’s average fatigue level was M = 46 with a sample variance of 100 after the month. Please write out the four steps for this hypothesis test assuming an alpha level of .05. Step 1: State your hypotheses Step 2: Find your critical regions in a distribution Step 3: Data Analysis Step 4: Making a decision

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11.5 A study was made on the amount of converted sugar in a certain process at various temperatures. The data were coded and recorded aAs follows: Temperature, æ 1.0 Converted Sugar, y 8.1 7.8 1.1 1.2 1.3 8.5 9.8 9.5 1.4 1.5 8.9 1.6 8.6 1.7 10.2 1.8 1.9 9.3 9.2 2.0 10.5