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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 46) The line of best fit through a set of data isy=36.704+0.985xy=36.704+0.985xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 30?y = Round to 1 decimal place.The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.8 8.6 7.1 3.9 2.5 2.6 2.4 0.4 yy 14.3 11.5 9.8 7.6 6.2 6.5 6.4 4.1 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.86x+4.07.y=0.86x+4.07. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 3 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 4.1 thousand automatic weapons?Answer = Round to 3 decimal places.
- The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.6 8.5 7.2 3.6 2.6 2.3 2.1 0.4 yy 13.8 11.4 9.9 7.1 5.9 5.8 5.8 4.7 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.84x+4.02.y=0.84x+4.02. Use this equation to answer the following;Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 4.9 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 10.3 thousand automatic weapons?Answer = Round to 3 decimal places.The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.3 8.6 7.1 3.3 2.4 2.3 2.4 0.7 yy 13.7 11.1 10.4 6.9 6.4 6.2 6.1 4.9 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.83x+4.28.y=0.83x+4.28. Use this equation to answer the following;Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 10.7 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 1.6 thousand automatic weapons?Answer = Round to 3 decimal places.The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.3 8.6 7.1 3.3 2.4 2.3 2.4 0.7 yy 13.7 11.1 10.4 6.9 6.4 6.2 6.1 4.9 xx = thousands of…Which of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?
- The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.3 8.5 7.2 3.7 2.3 2.6 2.5 0.8 yy 13.9 11.4 10 7 6 6.4 6.5 4.6 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.86x+4.02.y=0.86x+4.02. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 4.2 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 5.5 thousand automatic weapons?Answer = Round to 3 decimal places.Given are five observations for two variables, x and y. xi 5 13 7 21 19 yi 59 42 55 10 29 -select your answer- choices: a. (A, B, C, D) the different graphs are being attached b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a (positive, negative) linear relationship between x and y. c. Try to approximate the relationship between x and y by drawing a straight line through the data. (Many different straight lines can be drawn, Only one straight line can be drawn, A straight line cannot be drawn) to provide a linear approximation of the relationship between x and y. D & E questions are being attached. Thank you!Which one of the following statements is false? To compute r, the form of the relationship should be linear. If you correlate two quantitative variables, called “x” and “y,” changing the units of measurement for “x” and “y” will not change the correlation between “x” and “y.” If you correlate two quantitative variables, called “x” and “y,” the correlation will not change if you switch which variable is “x” and which is “y.” The correlation coefficient is affected by outliers. If two quantitative variables are strongly correlated, we should conclude that one variable causes the other.