/*! 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. 4.61 Plant Emissions. Plants emit gas... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Plant Emissions. Plants emit gases that trigger the ripening of fruit, attract pollinators, and cue other physiological responses. N. Agelopolous et al. examined factors that affect the emission of volatile compounds by the potato plant Solanum numerous and published their findings in the paper "Factors Affecting Volatile Emissions of Intact Potato Plants. Solanum tuberosum: Variability of Quantities and Stability of Ratios" (Journal of Chemical Ecology, Vol. 26. No. 2, pp. 497-511). The volatile compounds analyzed were hydrocarbons used by other plants and animals. Following are data on plant weight (x), in grams, and quantity of volatile compounds emitted (y), in hundreds of nanograms, for 11 potato plants. For part (g), predict the number of volatile compounds emitted by a potato plant that weighs 75 grams.

X5785576552676280775368
Y8.022.010.522.512.011.57.513.016.521..012.0
  • a. fond the regression equation for the data points.
  • b. graph the regression equation and the data points.
  • c. describe the apparent relationship between the two variables under consideration.
  • d. interpret the slope of the regression line.
  • e. identify the predictor and response variables.
  • f. identify outliers and potential influential observations.
  • g. predict the values of the response variable for the specified values of the predictor variable, and interpret your results.

Short Answer

Expert verified

Ans:

part (a):∣y=3.52+0.16x

part (b): Graph representation

part (c): The number of volatile compounds emitted increases as the plant weight increases.

part (d): The slope of the regression line is 0.16.

part (e): The predictor variable is potato plant weight and the response variable is the quality of volatile compounds emitted.

part (f): All the points are near the straight line so there are no outliers in the data given.

part (g): The predicted quantity of volatile compounds emitted by a potato plant that weighs 75 grams is 1574 nanograms.

Step by step solution

01

Step 1. GIven information:

Given Data points:

X5785576552676280775368
Y8.022.010.522.512.011.57.513.016.521..012.0
02

Step 2. Solving part (a):

xyxyx257845632498522187072255710.5598.532496522.51462.54225521262427046711.5770.54489627.546538448013104064007716.51270.5592953211113280968128164624∑x=723∑y=156.5∑xy=10486∑xx2=48747

03

Step 3. Continue:

We first need to compute the b1and b0to find the regression equation.

The slope of the regression line is,

b1=SxySxx=∑xiyi-∑xi∑yi/n∑xi2-∑xi2/n=10486-(723)(156.5)/1148747-(723)2/11=199.68181226.182=0.162848≈0.16

The y-intercept is,

b0=1n∑yi-b1∑xi=111(156.5-(0.162848)(723))=3.523688≈3.52

So the regression equation isrole="math" localid="1652583005548" y=3.52+0.16x

04

Step 4. Solving part (b):

The graph representation for the equation:

05

Step 5. Solving part (c):

From the above graph we can see that the number of volatile compounds emitted increases as the plant weight increases.

06

Step 6. Solving part (d):

The slope of the regression line is 0.16, which means that a unit change in the potato plant weight causes a change of 16 nanograms increases in volatile compounds emitted.

07

Step 7. Solving part (e):

From the regression equation we have the predictor variable as potato plant weight and the response variable is the quality of volatile compounds emitted.

08

Step 8. Solving part (f):

From the obtained regression equation we can see that all the points are near the straight line so there are no outliers in the data given.

09

. Solving part (g):

The predicted quantity of volatile compounds emitted by the potato plant that weighs 75 grams,

We have the regression line as y^=3.523688+0.162848x

Substituting the value x=75, we get

y^=3.523688+0.162848x=3.523688+0.162848(75)≈15.74(in hundreds)

Therefore, the predicted quantity of volatile compounds emitted by a potato plant that weighs 75 grams is 1574 nanograms.

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 91Ó°ÊÓ!

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

Rental-Car Costs. During one month, the Avis Rent Car rate for renting a Buick LeSabre in Mobile, Alabama, was 68.22per day plus 0.25per mile. For a one day rental, let xdenote the number of miles driven and let ydenote the total cost, in dollars.. The linear equation is y=68.22+0.25x

a. Find the y-intercept and slope of the specified linear equation.
b. Explain what the y-intercept and slope represent in terms of the graph of the equation.
c. Explain what the y-intercept and slope represent in terms relating to the application.

Estriol Level and Birth Weight. J. Greene and J. Touchstone conducted a study on the relationship between the estriol levels of pregnant women and the birth weights of their children. Their findings. "Urinary Tract Estriol: An Index of Placental Function," were published in the American lournal of obstetrics and Gynecology (Vol. 85(1). pp. 1-9). The data from the study are provided on the WeissStats site, where estriol levels are in mg/24hrbirth weights are in hectograms.

a. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (b) (d).

b. Obtain the coefficient of determination.

c. Determine the percentage of variation in the observed values of the response variable explained by the regression. and interpret your answer.

d. State how useful the regression equation appears to be for making predictions.

For which of the following sets of data points can you reasonably determine a regression line? Explain your answer.

Age and Price of Orions. In Table 4.2, we provided data on age and price for a sample of 11Orions between 2and 7years old. On the Weiss Stats site, we have given the ages and prices for a sample of 31Orions between 1and 11years old.

a. Obtain a scatterplot for the data.

b. Is it reasonable to find a regression line for the data? Explain your answer.

A measure of the total variation in the observed values of the response variable is the------.

The mathematical abbreviation for it is----.

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.