Given a regression model with theta0 = 67.4 and theta1 = 18.28, find the estimated y value for x = 16. (Use 4 significant figures)
Q: Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one…
A:
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 (x)…
A: Givena=-0.816b=24.08r2=0.494209r=-0.703y=ax+b
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A: Given regression equation is y=a+bx where y=32.909-1.334x If x=2 y=?
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: test scores (Y). The results of the regression were: y=ax+b a=6.813 b=21.42 r2=0.403225 r=0.635 Use…
A: The regression equation is given by, y = ax+b y = 6.813 * x + 21.42
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A:
Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…
A: Given that y=ax+b a = 5.235 b = 21.73 r ^2 = 0.36 r = 0.6
Q: A regression analysis was performed to determine if there is a relationship between hours of TV…
A:
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A: In this problem, the independent or explanatory variable is the hours of TV watched per day (x) and…
Q: Use this to predict the number of situps a person who watches 4.5 hours of TV can do (to one decimal…
A: In this case, the regression equation is y=-1.195x+26.
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 analysis was performed to determine if there is a relationship between hours of TV…
A:
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 was run to determine if there is a relationship between hours of TV watched per day (x)…
A: Given,y=ax+ba=-0.77b=22.189r2=0.432964r=-0.658
Q: Use this to predict the number of situps a person who watches 13 hours of TV can do (t
A: The regression equation is given by y = -1.153x + 39.487
Q: A regression was run using 11 subjects to determine if there is a relationship between hours of TV…
A:
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A: Given: x is the hours of TV watched per day. y is the number of sit ups a person can do. The…
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A: Given that y = ax +b a = -0.791 b = 27.682 r2 = 0.906304 r = -0.952
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 results of the regression were: y = ax + b a = -1.346 b = 34.703…
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 was run to determine if there is a relationship between hours of TV watched per day (x)…
A:
Q: The line of best fit through a set of data is 6.227 – 1.507x According to this equation, what is the…
A: We have given that the line of best fit through a set of data is y^ = -6.227 - 1.507*x
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: 28.0 Explanation:The regression equation is given asy=ax+bwherea is the slope of the line, andb is…
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 (x)…
A: Solution: Let X be the number of hours of TV watched per day and Y be the number of sit-ups a person…
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 study per week (x) and…
A:
Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…
A: Solution:Let X be the number of hours of TV watched per day and Y be the number of sit-ups a person…
Q: A regression
A: regression is the relationship between dependent variable and independent variables here y…
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: The data provided give the number of standby hours based on total staff present, X₁, and remote…
A: The given data is as follows: Standby HoursRemote HoursTotal Staff…
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: We have given that A regression was run to determine if there is relationship between hours pf TV…
Q: A data set whose original x values ranged from 120 through 351 was used to generate a regression…
A: The predicted value of y when x=110 is 20.8 and it is obtained below: From the given information,…
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, Slope, a =-0.849 Intercept,b =32.064 Thus, the regression line is : y…
Q: The line of best fit through a set of data is ŷ = 14.714 – 3.985x According to this equation, what…
A: Given, y = 14.714 - 3.985 * x
Given a regression model with theta0 = 67.4 and theta1 = 18.28, find the estimated y value for x = 16. (Use 4 significant figures)
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
- 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=-1.145 b=20.742 r?=0.508369 r=-0.713 Use this to predict the number of situps a person who watches 2.5 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=ax+b a=-1.226 b=33.622 r²-0.4489 r=-0.67 Use this to predict the number of situps a person who watches 3 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 (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.152 b=30.418 r2=0.703921 r=-0.839 1. Use this to predict the number of sit ups a person who watches 2.5 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 situps a person can do (y). The results of the regression were: ý = bo + bịx bo = 36.465 - 1.082 b1 - 0.646 Use this to predict the number of situps a person who watches 2.5 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=ax+b a=-0.649 b=20.136 r2=0.488601 r=-0.699 Use this to predict the number of situps a person who watches 2.5 hours of TV can do (to one decimal place)Draw the regression line for the following equation: Y = -3 + (1) X Show your calculation for a low and high value on the predictor value.
- 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=-0.609 b=27.646 r2=0.910116 r=-0.954 Use this to predict the number of situps a person who watches 12 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=ax+b a=-0.649 b=20.136 r2=0.488601 r=-0.699 Use this to predict the number of situps a person who watches 2.5 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: уах+ b a = -1.098 b = 37.154 r2 = 0.444889 r = -0.667 Use this to predict the number of situps a person who watches 11 hours of TV can do. situps = [one decimal accuracy]
- Use the regression equation, Ŷ = 3X + 4, to find the predicted Y value corresponding to X = 2 The predicted Y value = ?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: ŷ=ax+b a=-1.312 b=36.478 r²-0.363609 r=-0.603 Use this to predict the number of situps a person who watches 9.5 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=ax+b a=-1.091 b=30.228 r2=0.698896 r=-0.836 Use this to predict the number of situps a person who watches 3.5 hours of TV can do (to one decimal place)