Perform a linear regression analysis on the following data and determine the "a" coefficient (i.e., slope):

The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?

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=-0.817 b=32.111 r²=0.877969 r=-0.937 Use this to predict the number of situps a person who watches 13.5 hour(s) of TV can do, and please round your answer to a whole number.

A regression was run using 11 subjects 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: Regression Equation....... y=b0+b1xy=b0+b1x Slope..................... b1=−1.282b1=-1.282 y-Intercept............... b0=38.871b0=38.871 Sample size............... n=11n=11 Correlation Coefficient... r=−0.79r=-0.79 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)

Type the regression equation for “Area” and “Biomass” in context into your document.   Interpret the slope of the regression line (in context of this data set) for “Area” and “Biomass”. is it meaningful to interpret the y-intercept for “Area” and “Biomass”? Why or why not?

A regression line calculated as y= 9.7-3.2x. The slope of this line is -3.2 TRUE OR FALSE

The following regression model shows the relationship between selling price of a house(y) and the number of bedrooms(x); y=100+0.6x. Another separate regression between selling price of the house(y) and the level of crime per week in the neighborhood(x); y=100+0.3x. Draw the regression line for the first and second regression. Write an interpretation for the slope coefficient in the first and second regression. Be specific. What is the estimated value of the price of a house which has two bedrooms.

Which of the following data sets or plots could have a regression line with a negative slope? Select all that apply. Select all that apply:   the difference in the number of ships launched by competing ship builders as a function of the number of months since the start of last year     the number of hawks sighted per day as a function of the number of days since the two-week study started     the total number of ships launched by a ship builder as a function of the number of months since the start of last year     the average number of hawks sighted per day in a series of studies as a function of the number of days since the ten-week study started

A teacher conducted a regression analysis to investigate the relationship between student height and femur length. Computer output from the linear regression analysis is shown in the table. The analysis was performed on a sample of 24 students. Term CoefCoef SE CoefSE Coef Constant 28.34 0.945 Femur length 1.73 0.023 Assume that the conditions for inference for the slope of the regression equation have been met. Which of the following defines the margin of error for a 99.5 percent confidence interval for the slope of the least-squares regression equation?   A)3.104  (0.023) B)3.104  (1.73) C)3.119  (0.023) D)3.119(0.945) E)3.119(1.73)

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=-0.859 b-37.904 r²-0.589824 r=-0.768 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)