Answered: Use the regression line to estimate how…

Use the regression line to estimate how long a typical dive of 200 meters would last. Round your answer to two decimal points.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given relationship is y= -1.261x + 28.694 Here x is hours of TV watched per day and y is number of…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given y=ax+b where a=-0.962 b=32.772 y=-0.962x+32.772 regression equation is y=-0.962x+32.772…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The following information has been provided: The regression equation is : y^=30.54-1.354x The…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given, a=-0.771 b=24.862

Q: A regression was run to determine if there is a relationship between hours of study per week (z) and…

A: Given information- x = Hours of study per week y = Final exam scores y = a+bx a = 39.3 b = 5.618 r2…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day,…

A: We have given that a= -1.215 b= 23.457 Since we know that regression equation is given by ŷ = ax + b…

Q: regression analysis was performed to determine if there is a relationship between hours of TV…

A: Linear regression is a way to model the relationship between two variables. ... The equation has the…

Q: regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that the regression line is, Y=ax+b Here the independent variable x is the number of hours of…

Q: A regression was run to determine if there is a relationship between hours of TV watche per day, r,…

A: Let y : number of sit-ups a person can do in a minute x: Hours of TV watched per dayThe…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

Q: regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given that ; X represents the hours of TV watched per day ( Y represents number of situps a person…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the provided information, The regression equation is as follow: y = -0.817x + 32.111 Here x is…

Q: A regression was run to determine if there is a relationship between hours of study per week (xx)…

A: Given The results of the regression were:y=ax+b a=5.89 b=34.42 r2=0.837225 r=0.915 So putting values…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given information- We have given the relationship between TV watched (x) and number of sit ups a…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: What should I buy? A study conducted by a research group in a recent year reported that 57% of cell…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given that the regression equation is, y=ax+b b=31.768 a=-1.128 Therefore, y=-1.128x+31.768

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given : Regression equation : y=ax+b 'where a=-0.609 b=34.589

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given info: A regression was run to determine if there is a relationship between hours of TV watched…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day,…

A: Formula Used: Simple linear regression: Y = aX + b {As given} Where, X is…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Line of best fit obtained is y=-0.797x+33.913 for a given value of hours tv watched, we want to…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: From the given information, the regression is y=20.094-0.759(x).

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: It is given that a=38.98 and b= -1.245.

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given,a=-1.309b=28.368r2=0.4096r=-0.64y=ax+b

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: y = ax+b = -1.223x+22.907

Q: Does how long young children remain at the lunch table help predict how much they eat? Twenty…

A: The Linear regression equation is computed as…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The regression equation is: y=-0.649x+20.136.

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The value of a is -0.96 and the value of b is 35.944.

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: Let the independent variable X be the no.of hours of TV watched per day Let the dependent variable Y…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: y = ax + b a = -0.799 b = 23.923 r = -0.834

Q: A regression was run to determine if there is a relationship between hours of study per week (z) and…

Q: Use this to predict the number of sit ups a person who watches 4.5 hours of TV can do, and please…

A: Given : y=ax+b a=-1.172 b=29.62 r2=0.497025 r=-0.705

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day…

A: We have to find predicted value for given data..

Q: A regression analysis was performed to determine if there is a relationship between hours ofTV…

A: Introduction: The regression equation is of the form: From the results on a and b that are given in…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…

A: Given that

Question

A study of king penguins looked for a relationship between how deep the penguins dive in meters xx to seek food and how long they stay underwater in minutes yy. Based on sample data, the regression line is found to be

y^=2.69+0.0116x

Use the regression line to estimate how long a typical dive of 200 meters would last. Round your answer to two decimal points.

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Similar questions

A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam Scores (y). The results of the regression were: y=ax+b a=6.179 b=28.96 r²=0.937024 r=0.968 Use this to predict the final exam score of a student who studies 4 hours per week, 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 situps a person can do (y).The results of the regression were: y=ax+b a= -0.889 b=32.071 r2=0.505521 r= -0.711 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y = 26.699 -0.639*x R² = 0.5 r = -0.704 Predict the number of situps a person who watches 6 hours of TV can do (round your answer to three decimal places).
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+ba=-1.392b=32.952r2=0.527076r=-0.726Use this to predict the number of situps a person who watches 2 hour(s) 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 situps a person can do (y).The results of the regression were:y=ax+b a=-0.667 b=26.552 r2=0.677329 r=-0.823 Use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (y). The results of the regression were: y=ax+b a=-1.153 b=22.899 r2=0.649636 r=-0.806 Use this to predict the number of sit ups a person who watches 8 hours of TV can do, and please round your answer to a whole number.
This is a regression model of how many potato chips one can eat while watching a movie: Y=-2.014*x+40 and the R squared is 0.5 How many chipsp are to be eaten in a 12 hour period?
A regression was run to determine if there is a relationship between hours of study per week (xx) and the test scores (yy).The results of the regression were:y=ax+b a=6.686 b=35.26 r2=0.6084 r=0.78 Use this to predict the final exam score of a student who studies 8.5 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.614 b=32.79 r2=0.808201 r=0.899 Use this to predict the final exam score of a student who studies 1 hours per week, 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, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.399 b=26.311Use this to predict the number of sit-ups a person who watches 12.512.5 hours of TV can do in a minute. Round to the nearest whole number.