Suppose you are a manager for a carnival game at the local fair. You want toestimate how many prizes you will need to have in stock to give out, based onthe number of tickets purchased before the fair begins. You examine the past 24fair openings to make your regression model, and find the followinginformation.(x − x)² = 791.5Σe²= = 223.1and ŷ=294.21 +0.186x, where is the number of tickets purchasedbefore the fair begins, and ŷ is the predicted demand for prizes during the firstday of the fair. What is the standard error of the slope of the regression line?8.10.0540.024√

Answered: Image /qna-images/answer/d2560e0e-4acd-4973-beef-6e12dd0d24bb.jpg

Answered: er for a ca game at the you will need…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...

See similar textbooks

Similar questions

bThe average rate of change of the linear function f(x)=3x+5 between any two points is ________.
Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to 2012. a. Let x represent time in years starting with x=0 for the year 1997. Let y represent the number of seals in thousands. Use logistic regression to fit a model to these data. b. Use the model to predict the seal population for the year 2020. c. To the nearest whole number, what is the limiting value of this model?
Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use exponential regression to fit a model to these data. b. If spending continues at this rate, what will the graduate’s credit card debt be one year after graduating?
A recent 10-year study conducted by a research team at the Great Falls Medical School was conducted to assess how age, systolic blood pressure, and smoking relate to the risk of strokes. Assume that the following data are from a portion of this study. Risk is interpreted as the probability (times 100) that the patient will have a stroke over the next 10-year period. For the smoking variable, define a dummy variable with 1 indicating a smoker and 0 indicating a nonsmoker. Risk 10 25 12 28 50 17 32 37 15 22 36 15 48 15 36 8 34 4 38 Age 58 65 58 86 59 76 56 78 80 78 71 70 67 77 60 82 66 80 62 59 Systolic Blood Pressure 152 163 155 177 196 189 155 120 135 98 152 173 135 209 199 119 166 125 117 209 Smoker Yes No No Yes Yes Yes Yes No No No No Yes Yes Yes No Yes No No No Yes
For the regression equation, Ŷ = –2X + 6, what can be determined about the correlation between X and Y?
The coefficient of determination for the linear regression model is 0.8636. This shows that there is a the "Number of Patients" and "Year." relationship between
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-0.842 b=32.781 r2=0.652864 r=-0.808 Use this to predict the number of sit ups a person who watches 4 hours of TV can do, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y).The results of the regression were: y=ax+b a=-1.003 b=21.314 r2=0.857476 r=-0.926 Use this to predict the number of sit-ups a person who watches 9 hour(s) of TV can do, and please round your answer to a whole number. __?__
How would I complete this problem? I'm not sure how to get it started. Thank you.
A set of n=10 pairs of X and Y scores has SSx=10, SSy=60, and SP=20. What is the slope of the regression equation for these scores?
Define both x and y in all problems. x is the cause, and y is the effect. This is the most important step when doing linear regression, otherwise, all the remanding parts will be wrong. A teacher wants to form a linear regression equation to predict a student’s score based on the final based on the number of hours they spent studying for it. Final scores are in percents. y = 2x + 60R2 = 0.65 a. According to the equation how many hours would a student have to study to have a grade of 90%. b. What does the slope mean in terms of the situation? c. What does the y-intercept mean in terms of the situation? d. What does the coefficient of determination mean in terms of the situation?

SEE MORE QUESTIONS

Recommended textbooks for you

College Algebra

Algebra

ISBN:

9781938168383

Author:

Jay Abramson

Publisher:

OpenStax

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

College Algebra

Algebra

ISBN:

9781938168383

Author:

Jay Abramson

Publisher:

OpenStax

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

Algebra and Trigonometry (MindTap Course List)

Algebra

ISBN:

9781305071742

Author:

James Stewart, Lothar Redlin, Saleem Watson

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS

er for a ca game at the you will need to have in sto chased before the fair begins regression model, and find - 186x, where x is the num ŷ is the predicted demand e standard error of the slope