You are studying how a penguin's flipper length (in mm) explains its body mass (in grams) using linear regression. You choose a non-directional alternative to be safe. Your t* = 32.56 and the non-directional p-value is 0.000000034.Indicate your statistical decision below.O Fail to reject Ho because p > alphaO Reject Ho because p< alphaO Fail to reject Ho because p< alphaO Reject Ho because p> alpha

Understand the Hypotheses• Null Hypothesis (H0): There is no relationship between a penguin's…

Answered: You are studying how a penguin's…

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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You are asked to do quality control and quality assurance during the determination of lead concentration in a city’s tap water using ICP-AES. Plotting ICP -AES signal as a function of lead concentration (in ppb) gave you a linear regression equation of y = 1.97x + 1.50 with an R^2=0.99. The instrumental response (signal) had a standard deviation of 0.75. What is the limit of quantitation in terms of lead concentration (ppb) of this instrumental method?
Y, = XB + ɛ, Show that the model variance in model Yi unbiased estimator of
Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. The decrease in blood pressure y will vary about this subpopulation mean. What is the distribution of y for this subpopulation?
A clothing manufacturer wants to estimate the amount of scrap cloth generated each day by its fabric cutting machines. Eight potential independent variables have been identified. These include the following. = amount of cloth run through cutting machines (in square feet) X2 = machine cutting speed (in feet per minute) age of machine (in years) The manufacturer selects 6 of the candidate independent variables to use in a multiple regression model for estimating y, the amount of scrap cloth (in square feet). Using data collected from 24 different cutting machines operating on different days, the model y = Bo+B1*1 +B,x2+ + Bax, is fit to the data. Fill in the blanks in the analysis of variance (ANOVA) table associated with this model. Do all ... calculations to at least three decimal places.
HI, I'm doing a regression output with Hayes Model 1 Based on the information below the 95% CI [-.6020, 1.065] is statistically significant but the p = .114 is this a correct assumption? (b1) of -.268, t = -1.58, p = .114, 95% CI [-.6020, -.065].
In the following model, "employed" is a dummy indicating a person is employed: donation = B + B edu + Bemployed + uT Running this model will produce the same results of differential in donation between employed people and unemployed people as running two separate regressions for employed people and unemployed people. A. True B. False
Please show work in Excel.
Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. What is the subpopulation mean when x = 7 servings per day?
what is a confidence coefficinent for a simple linear regression line whoes alpha =0.05 and line is y(hat)=-7.45-10x
Let kids denote the number of children ever born to a woman, and let educ denote years of education for the woman. A simple model relating fertility to years of education is: kids; = Bo + B1educ; + uż. 1. What are the parameters in the model? 2. What kinds of factors are contained in u? Are these likely to be cor- related with level of education? 3. Will a simple regression analysis uncover the ceteris paribus effect of education on fertility? Explain.
It is known that the slope coefficient for regression line Y on X is 0.942 The standard deviation of X and Y are 5 and 9 respectively. Find the value of the correlation coefficient for using given information.
A consumer advocacy group received a tip that an air conditioning company has been charging female customers more than male customers. The group's statistical expert decides examine this question at the alpha = 0.01 level of significance, by looking at the difference in mean charges between a random sample of female customers and a random sample of male customers. Let represent the average charges for female customers and mu M represent the average charges for male customers( Round your results to three decimal places) 1. Which would be correct hypotheses for this test? O H 0 : mu F - mu M =0 H 1 : mu F - mu M >0 O H 0 : mu F - mu M =0 , H 1 : mu F - mu K <0 O H 0 : mu F - mu M =0 , H 1 : mu F - mu M ne0 O H 0 : mu F - mu M >0,H 1 : mu F - mu M <=0 2. If we are going to test this using a confidence interval, which confidence interval should we construct? O 96 % 99 % 99.5 % 98 % A random sample of 46 female customers were charged an average of $917, with a standard deviation…

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