/*! 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. T12.1 Which of the following is not on... [FREE SOLUTION] | 91影视

91影视

Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line?

a. For each value of x, the population of y-values is Normally distributed.

b. The standard deviation 蟽 of the population of y-values corresponding to a given value of xis always the same, regardless of the specific value of x.

c. The sample size鈥攖hat is, the number of paired observations (x,y)鈥攅虫肠别别诲蝉 30.

d. There exists a straight line such that, for each value of x, the mean yof the corresponding population of y-values lies on that straight line.

e. The data come from a random sample or a randomized experiment.

Short Answer

Expert verified

Option (c) is the correct option.

Step by step solution

01

Step 1. Given information

a. For each value of x, the population of y-values is Normally distributed.

b. The standard deviation of the population of y-values corresponding to a given value of xis always the same, regardless of the specific value of x.

c. The sample size鈥攖hat is, the number of paired observations (x,y)鈥攅虫肠别别诲蝉 30.

d. There exists a straight line such that, for each value of x, the mean yof the corresponding population of y-values lies on that straight line.

e. The data come from a random sample or a randomized experiment.

02

Step 2. Explanation for correct option

Now, in the question we have to find out that which of these is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-square regression line. Thus, we know that there are five conditions in order to perform inference about the slope of a least-squares regression line, that are: Random, Normal, Independent, Linear, Equal variance.

Thus, by looking at the options to get that:

Option (a) must be satisfied because it is the Normal requirement.

Option (b) must be satisfied because it is the Equal variance requirement.

Option (c) must not be satisfied because we require no limitations on the sample size.

Option (d) must be satisfied because it is the Linear requirement.

Option (e) must be satisfied because it is the Random requirement.

Thus, we have option (c) is not one of the condition that must be satisfied in order to perform inference about the slope of a least-square regression line.

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 91影视!

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

Exercises T12.4鈥揟12.8 refer to the following setting. An old saying in golf is 鈥淵ou drive for show and you putt for dough.鈥 The point is that good putting is more important than long driving for shooting low scores and hence winning money. To see if this is the case, data from a random sample of 69 of the nearly 1000 players on the PGA Tour鈥檚 world money list are examined. The average number of putts per hole (fewer is better) and the player鈥檚 total winnings for the previous season are recorded and a least-squares regression line was fitted to the data. Assume the conditions for inference about the slope are met. Here is computer output from the regression analysis:

T12.7 Which of the following is the 95% confidence interval for the slope 尾1 of the population regression line?
a. 7,897,1793,023,782
b. 7,897,1792.000(3,023,782)
c. 4,139,1981,698,371
d. 4,139,1981.960(1,698,371)
e. 4,139,1982.000(1,698,371)

Each morning, coffee is brewed in the school workroom by one of three faculty members, depending on who arrives first at work. Mr. Worcester arrives first 10% of the time, Dr. Currier arrives first 50%of the time, and Mr. Legacy arrives first on the remaining mornings. The probability that the coffee is strong when brewed by Dr. Currier is 0.1, while the corresponding probabilities when it is brewed by Mr. Legacy and Mr. Worcester are 0.2 and 0.3, respectively. Mr. Worcester likes strong coffee!
(a) What is the probability that on a randomly selected morning the coffee will be strong?
(b) If the coffee is strong on a randomly selected morning, what is the probability that it was brewed by Dr. Currier?

Yahtzee (5.3,6.3) In the game of Yahtzee, 5 six-sided dice are rolled simultaneously. To get a Yahtzee, the player must get the same number on all 5 dice.

a. Luis says that the probability of getting a Yahtzee in one roll of the dice is 165. Explain why Luis is wrong.

b. Nassir decides to keep rolling all 5 dice until he gets a Yahtzee. He is surprised when he still hasn鈥檛 gotten a Yahtzee after 25 rolls. Should he be? Calculate an appropriate probability to support your answer

Exercises T12.4鈥揟12.8 refer to the following setting. An old saying in golf is 鈥淵ou drive for show and you putt for dough.鈥 The point is that good putting is more important than long driving for shooting low scores and hence winning money. To see if this is the case, data from a random sample of 69 of the nearly 1000 players on the PGA Tour鈥檚 world money list are examined. The average number of putts per hole (fewer is better) and the player鈥檚 total winnings for the previous season are recorded and a least-squares regression line was fitted to the data. Assume the conditions for
inference about the slope are met. Here is computer output from the regression analysis:

T12.4 By about how much does the sample slope typically vary from the population slope in repeated random samples of n=69 golfers?
a. 7,897,179
b. 1,698,371
c. 3,023,782
d. 281,777
e. 鈭4,139,198

Determining tree biomass It is easy to measure the diameter at breast height (in centimeters) of a tree. It鈥檚 hard to measure the total aboveground biomass (in kilograms) of a tree because to do this, you must cut and weigh the tree. Biomass is important for studies of ecology, so ecologists commonly estimate it using a power model. The following figure is a scatterplot of the natural logarithm of biomass against the natural logarithm of diameter at breast height (DBH) for 378trees in tropical rain forests. The least-squares regression line for the transformed data is lny=-2.00+2.42lnxlny^=-2.00+2.42lnx^

Use this model to estimate the biomass of a tropical tree 30cm in diameter.

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.