The following table exhibits the age of antique furniture and the corresponding prices.Use the table to answer the following question(s).(Hint: Use scatter diagram and the Excel Trendline tool where necessary). \[\begin{array} { | r | r | } \hline \begin{array} { l } \text { Number } \\ \text { of years } \end{array} & \begin{array} { l } \text { Value } \\ ( \$ ) \end{array} \\ \hline 78 & 930 \\ \hline 91 & 1010 \\ \hline 83 & 970 \\ \hline 159 & 1950 \\ \hline 134 & 1610 \\ \hline 210 & 2880 \\ \hline 88 & 980 \\ \hline 178 & 2010 \\ \hline 124 & 1370 \\ \hline 72 & 900 \\ \hline \end{array}\] -In a linear relationship, which of the following accounts for the many possible values of the dependent variable that vary around the mean?

A) the coefficient of the dependent variable X B) the value of the intercept ß₀ C) the random error term ε D) the standard error SYX A) the coefficient of the dependent variable X B) the value of the intercept ß₀ C) the random error term ε D) the standard error SYX

The following table exhibits the age of antique furniture and the corresponding prices.Use the table to answer the following question(s).(Hint: Use scatter diagram and the Excel Trendline tool where necessary). \[\begin{array} { | r | r | } \hline \begin{array} { l } \text { Number } \\ \text { of years } \end{array} & \begin{array} { l } \text { Value } \\ ( \$ ) \end{array} \\ \hline 78 & 930 \\ \hline 91 & 1010 \\ \hline 83 & 970 \\ \hline 159 & 1950 \\ \hline 134 & 1610 \\ \hline 210 & 2880 \\ \hline 88 & 980 \\ \hline 178 & 2010 \\ \hline 124 & 1370 \\ \hline 72 & 900 \\ \hline \end{array}\] -What is the relationship between the age of the furniture and their values?

A) Nonlinear B) Linear C) Curvilinear D) No relationship A) Nonlinear B) Linear C) Curvilinear D) No relationship

The following table exhibits the age of antique furniture and the corresponding prices.Use the table to answer the following question(s).(Hint: Use scatter diagram and the Excel Trendline tool where necessary). \[\begin{array} { | r | r | } \hline \begin{array} { l } \text { Number } \\ \text { of years } \end{array} & \begin{array} { l } \text { Value } \\ ( \$ ) \end{array} \\ \hline 78 & 930 \\ \hline 91 & 1010 \\ \hline 83 & 970 \\ \hline 159 & 1950 \\ \hline 134 & 1610 \\ \hline 210 & 2880 \\ \hline 88 & 980 \\ \hline 178 & 2010 \\ \hline 124 & 1370 \\ \hline 72 & 900 \\ \hline \end{array}\] -Which of the following equations correctly expresses the relationship between the two variables?

A) Value = (-181.16)+ 13.493 × Number of years B) Number of years = Value / 12.537 C) Value = (459.34 / Number of years)× 4.536 D) Number of years = (17.538 × Value)/ (-157.49) A) Value = (-181.16)+ 13.493 × Number of years B) Number of years = Value / 12.537 C) Value = (459.34 / Number of years)× 4.536 D) Number of years = (17.538 × Value)/ (-157.49)

The following table exhibits the age of antique furniture and the corresponding prices.Use the table to answer the following question(s).(Hint: Use scatter diagram and the Excel Trendline tool where necessary). \[\begin{array} { | r | r | } \hline \begin{array} { l } \text { Number } \\ \text { of years } \end{array} & \begin{array} { l } \text { Value } \\ ( \$ ) \end{array} \\ \hline 78 & 930 \\ \hline 91 & 1010 \\ \hline 83 & 970 \\ \hline 159 & 1950 \\ \hline 134 & 1610 \\ \hline 210 & 2880 \\ \hline 88 & 980 \\ \hline 178 & 2010 \\ \hline 124 & 1370 \\ \hline 72 & 900 \\ \hline \end{array}\] -Which of the following is true about the observed errors associated with estimating the value of the dependent variable using the regression line?

A) They are the horizontal distances between slopes and y-intercepts. B) The errors are also referred to as critical values. C) They are always maximized by the regression lines. D) The errors can be negative or positive. A) They are the horizontal distances between slopes and y-intercepts. B) The errors are also referred to as critical values. C) They are always maximized by the regression lines. D) The errors can be negative or positive.