/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. 12 When Mentos are dropped into a n... [FREE SOLUTION] | 魅影直播

魅影直播

When Mentos are dropped into a newly opened bottle of Diet Coke, carbon dioxide is released from the Diet Coke very rapidly, causing the Diet Coke to be expelled from the bottle. To see if using more Mentos causes more Diet Coke to be expelled, Brittany and Allie used twenty-four 2-cup bottles of Diet Coke and randomly assigned each bottle to receive either 2,3,4,or5Mentos. After waiting for the fizzing to stop, they measured the amount expelled (in cups) by subtracting the amount remaining from the original amount in the bottle. Here are their data:

Here is the computer output from a least-squares regression analysis of these data. Construct and interpret a 95%confidence interval for the slope of the true regression line.


PredictorCoefSECoefTPConstant1.00210.045122.2150.000Mentos0.07080.01235.7700.000S=0.06724R-Sq=60.2%R-Sq(adj)=58.4%

Short Answer

Expert verified

We are 95%confident that the slope of the true regression line is between 0.0452895and0.0963102.

Step by step solution

01

Given Information

We need to construct and interpret a 95%confidence interval for the slope of the true regression line.

02

Simplify

Consider:

n=Samplesize=24c=Confidencelevel=95%=0.95

The estimate of the slope b1is considered in the row "Mentos" and in the column "Coef" of the given computer output:

b1=0.0708

The estimated standard deviation of the slopeSEb1 is considered in the row "Mentos" and in the column "SE Coef" of the given computer output:

SEb1=0.0123

The critical t-value can be found in the Student's Tdistribution table in the appendix in the row of df=n-2=24-2=22and in the column ofc=95%

t'=2.074

The boundaries of the confidence interval then become:

b-t'SEb=0.0708-2.0740.0123=0.0452898

b+t'SEb=0.0708+2.0740.0123=0.0963102

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 魅影直播!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

R12.5 Light intensity In a physics class, the intensity of a 100-watt light bulb was measured by a sensor at various distances from the light source. Here is a scatterplot of the data. Note that a candela is a unit of luminous intensity in the International System of Units.

Physics textbooks suggest that the relationship between light intensity y and distance x should follow an 鈥渋nverse square law,鈥 that is, a power law model of the form y=ax-2=a1x2. We transformed the distance measurements by squaring them and then taking their reciprocals. Here is some computer output and a residual plot from a least-squares regression analysis of the transformed data. Note that the horizontal axis on the residual plot displays predicted light intensity.

a. Did this transformation achieve linearity? Give appropriate evidence to justify your answer.
b. What is the equation of the least-squares regression line? Define any variables you use.
c. Predict the intensity of a 100-watt bulb at a distance of 2.1 meters.

Pricey diamonds Here is a scatterplot showing the relationship between the
weight (in carats) and price (in dollars) of round, clear, internally flawless diamonds with excellent cuts:

a. Explain why a linear model is not appropriate for describing the relationship between price and weight of diamonds.
b. We used software to transform the data in hopes of achieving linearity. The output shows the results of two different transformations. Would an exponential model or a power model describe the relationship better? Justify your answer.

c. Use each model to predict the price for a diamond of this type that weighs 2 carats. Which prediction do you think will be better? Explain your reasoning.

Beer and BAC Refer to Exercise 5. Here is computer output from the least-squares regression analysis of the beer and blood alcohol data.

a. What is the estimate for 0? Interpret this value.

b. What is the estimate for 1? Interpret this value.

c. What is the estimate for ? Interpret this value.

d. Give the standard error of the slope SEb1. Interpret this value.

The swinging pendulum Mrs. Hanrahan's precalculus class collected data on the length (in centimeters) of a pendulum and the time (in seconds) the pendulum took to complete one back-and-forth swing (called it's period). The theoretical relationship between a pendulum's length and its period is

period=2glength

where gis a constant representing the acceleration due to gravity (in this case, g=980cm/s2g=980cm/s2). Here is a graph of the period versus length, length, along with output from a linear regression analysis using these variables.

a. Give the equation of the least-squares regression line. Define any variables you use.

b. Use the model from part (a) to predict the period of a pendulum with length 80cm.

Do beavers benefit beetles? Researchers laid out 23circular plots, each 4meters in diameter, at random in an area where beavers were cutting down cottonwood trees. In each plot, they counted the number of stumps from trees cut by beavers and the number of clusters of beetle larvae. Ecologists think that the new sprouts from stumps are more tender than other cottonwood growth so beetles prefer them. If so, more stumps should produce more beetle larvae

Here is computer output for regression analysis of these data. Construct and interpret a99% confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

role="math" localid="1654159204144" PredictorCoefSECoefTPConstant1.2862.8530.450.657Stumps11.8941.13610.470.000S=6.41939R-Sq=83.9%R-Sq(adj)=83.1%

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.