Solve the problem.When exposed to ethylene gas, green bananas will ripen at an accelerated rate. The number ofdays for ripening becomes shorter for longer exposure times. Assume that the table below givesaverage ripening times of bananas for several different ethylene exposure times.Exposure time Ripening Time(minutes)10(days)4.33.22.72.1152025301.3Plot the data and then find a line approximating the data. With the aid of this line, determine therate of change of ripening time with respect to exposure time. Round your answer to twcsignificant digits.

Exposure time (Minutes) Ripening time (days) 10 4.3 15 3.2 20 2.7 25 2.1 30 1.3

Answered: When exposed to ethylene gas, green…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section4.3: Fitting Linear Models To Data

Problem 22SE: The U.S. Census tracks the percentage of persons 25 years or older who are college graduates. That...

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The U.S. Census tracks the percentage of persons 25 years or older who are college graduates. That data forseveral years is given in Table 4[14]. Determine whether the trend appears linear. If so, and assuming the trendcontinues. in what year will the percentage exceed 35%?
Use the table of values you made in part 4 of the example to find the limiting value of the average rate of change in velocity.
a )Do these data provide good evidence that increasing the temperature causes the yield to increase, within the range of the data? Or might the result be due to confounding? Explain.
The multiple regression describes how the mean value of y is related to the xi independent variables. The parameters ?i are used to describe how the mean value of y changes for a one-unit increase in xi when the other variables are held constant. The given estimated regression equation follows where x1 is the high-school grade point average, x2 is the SAT mathematics score, and y is the final college grade point average. ŷ = −1.38 + 0.0232x1 + 0.00482x2 If the variable x2 is held constant, then only changes in x1 will impact the predicted values of ŷ. Since the coefficient of x1 is positive, for each one-unit increase of x1, the values of ŷ will increase by the value of ?1, where ?1 = . In context, for each one point increase of the high-school grade point average, the final college grade point average will increase by this amount when the SAT mathematics score does not change. If the variable x1 is held constant, then only changes in x2 will impact the predicted values of ŷ. Since the…
How would you interpret a standard error of the estimate of 3.58? Each 1-unit increase in X is associated with an increase of 3.58 in Y The standard deviation between scores and their predicted values (using the regression equation) is 3.58 The total variability that cannot be predicted is 3.58 The average deviation from the mean is 3.58
A researcher determines that the correlation between number of siblings X and parental satisfaction measured on a 10 point scale Y is +0.53 The regression model was determined to be Y=4.6 +1.2X. For every additional sibling that a person has their parental satisfaction rating will increase by ——-points How many points?
A college bookstore must order books two months before each semester starts. They believe that the number of books that will ultimately be sold for any particular course is related to the number of students registered for the course when the books are ordered. They would like to develop a bestfitting line to predict how many books to order. From past records, the bookstore obtains the number of students registered, X, and the number of books actually sold for a course, Y , for 12 different semesters.A scatterplot of the data along with the best fitting line is presented below. a. The correlation between the two variables is r = .89. Calculate and interpret the value of r2.b. The equation for the best fitting line is Y = 9.30 + 0.673X. Explain and interpret the value of 9.30.c. How many books should the store order for a class of 50 students? Would you trust this prediction?
An observational study is conducted to investigate the association between age and total serum cholesterol. The correlation is estimated at r = 0.35. The study involves n=125 participants and the mean (std dev) age is 44.3 (10.0) years with an age range of 35 to 55 years, and mean (std dev) total cholesterol is 202.8 (38.4). Estimate the equation of the line that best describes the association between age (as the independent variable) and total serum cholesterol. Estimate the total serum cholesterol for a 50-year old person. Estimate the total serum cholesterol for a 70-year old person. d. For part c, why or why not might this estimate be appropriate?
Ankylosing spondylitis is an inflammatory disease which affects the spine and sacroiliac joint and can lead to the fusing of vertebrae in the spine. Exercise is important in helping manage pain, therefore a pharmaceutical company wanted to test if their new biologic would increase the time a patient could exercise before experiencing discomfort. The following table gives the time (in minutes) seven patients were able to exercise before reporting pain, both at baseline and then again after six months of taking the biologic.Exercise Time (in minutes)Subject 1 Baseline 30 Post-treatment 40Subject 245 40Subject 350 60Subject 435 37Subject 555 60Subject 620 25Subject 775 75Assume the population(s) of all exercise times is (are) normally distributed. Use JMP to test whether the evidence suggests that the time a person with ankylosing spondylitis can exercise before experiencing discomfort increases after taking this new biologic. Validate the test statistic from JMP by computing it manually.…
A business wants to lower its price level to increase sales of its goods. However, for the price reduction to be beneficial, the increase in sales after the price decrease must be greater than 10%. After the business lowers its prices, it monitors its sales for 60 days and determines that the rate of increase in sales is 13% on average. Should the business maintain the low price level practice? What is the hypothesis and decision for α = 0.05? H0 : P ≤ 0.13 H1 : P > 0.13, Decision: Ho cannot be rejected. H0 : P = 0.10 H1 : P < 0.10, Decision: Ho is rejected. H0 : P = 0.13 H1 : P ≠ 0.13, Decision: Ho is rejected. H0 : P = 0.10 H1 : P ≠ 0.10, Decision: Ho cannot be rejected. H0 : P ≤ 0.10 H1 : P > 0.10, Decision: Ho cannot be rejected.
You want to estimate the mean hourly yield for a process that manufactures a face wash. You observe the process for 100 hourly periods chosen at random, with the results x‾=42x=42 ounces per hour and s = 4. Estimate the mean hourly yield for the process and calculate the 95% margin of error.
Samurai Inc is a popular travel option for travelers between Japan and mainland Asia especially South Korea. However, due to the South Korea’s Discord with its neighbour and the following uncertainty regarding peace negotiation in the Korean Peninsula, the number of ground travel continues to fluctuate. Table 1 shows the number of car travel (y) per quarter between Japan and South Korea between 2013 and 2019. Table Attached Question: Fill in the blank cells in Table 2 by estimating the Ratio to Moving Average for t3, t4, and t25.

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