Use this to predict the number of sit ups a person who watches 1.5 hours of TV can do,

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

A: The regression equation is y = -1.017x + 23.99, where x is the hours of TV watched per day and y is…

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 study per week (2) and…

A: Using the given information,   The regression line is,     The objective is to predict the final…

Q: Use this to predict the number of situps a person who watches 9 hour(s) of TV can do, and please…

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

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 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,…

A: The regression eq: y = ax +b Given, a= -1.029            b =25.225

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

A: In this case, the independent variable is hours of TV watched per day (x) and the number of sit-ups…

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…

A:

Q: he owener of a winery collects data on competing wineries every year.  He would like to predict the…

A: The given information is, The owener of a winery collects data on competing wineries every year.…

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, I,…

A: Given  Y=ax+b  a=-1.246, b=29.886

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

A: Define the variables: x = Number of hours of TV watched per day y= Number of sit ups a person can do…

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

A: We have to find predicted value.

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 between hours of TV watched per day, x, and r ups,…

A: Given: x: hours of TV watches y: number of sit-ups y=ax+ba=-1.357b=20.532

Q: A FIFA World Cup football is dropped from 35 different heights (in cm) and the height of the bounce…

A: Given that  The Football is dropped from 35 different heights and height of the bounce is recorded.…

Q: 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:

Q: 13 A regression analysis was performed to determine if there is a relationship between hours of TV…

A: Given, y=ax+b a=-0.681 b=20.487 The regression line: y =-0.681x+20.487

Q: Find the correlation coefficient given the estimated regression equation =25+6x and ² = .8754.

A: We have given that ŷ = 25 + 6x r2 = 0.8754

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 analysis was performed to determine if there is a retationship between hours of TV…

A: # x=no of hours tv watch per day  Y= no of situps a person can do  Predicted model…

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 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 study per week (x) and…

A: The regression equation given by the result  is as follows: y=ax+by=6.365x+21.52wherey is the…

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: