$8: 16$ Today 8:08 AM Edit Question $11 \mathrm{c}$ point) Mciา A reseacher wants to st udy the ralationahip behween peoplein ago $(x)$ and ther cholestersil level $(\mathrm{y})$, In a random sarple of 106 people. the researcher found the coeffitient of dotermination to be $f^{2}=0.61$ How can fis number be explained? theved. $65 \%$ of the variation in pecple s cholecterd lewele can be esplained by their ape. There is a moderale, poetive correlation betesen pecgles ape ane choluturs: level. Paer 11 at 20 0 向s

$8: 16$ Today 8:08 AM MC12 Which stabement best matches the coefficien of comelation far the data ahoan? \begin{tabular}{|c|c|} \hline$x$ & $y$ \\ \hline 80 & 3.7 \\ \hline 81 & 1.6 \\ \hline 83 & 3.5 \\ \hline 86 & 3.4 \\ \hline 89 & 3.6 \\ \hline \end{tabular} Weak posthe Weak nopative Moderate pasitive Sterng negative fore $12=+20$

$8: 16$ Today 8:08 AM Edit Question 13 (1 point) MC13 Given the survey data, what is the stgression eauntion? \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline$x$ & 0.5 & 0.8 & 1.5 & 3 & 2.5 & 1.5 & 2.25 & 2.6 & 2 & 1.5 & 3 & 3.25 & 1.5 & 4 & 2.75 \\ \hline$y$ & 52 & 6.4 & 59 & 78 & 74 & 66 & 79 & 73 & 58 & 76 & 77 & 89 & 90 & 94 & 95 \\ \hline \end{tabular} $y=5364 x+8.81$ $y=0.06 x-1.60$ $y=-1.60 x+0.05$ $y=9.81 x+63.64$ Frevan heel Nent Prep Pave 13 al 20

$8: 16$ Today 8:08 AM Question 14 (1 point) MC14 regression equation $y=0.2 x+4.5$ Which best descrbes the coefficiant dt the independent variable? For each $1 \mathrm{~kg}$ increase in weight, there is a $0.2 \mathrm{~cm}$ increase in height. For tach $0.2 \mathrm{~cm}$ increase in height, there its a $4.5 \mathrm{~kg}$ horease in esight For each $1 \mathrm{~cm}$ increase in height there is a $0.2 \mathrm{~kg}$ increase in woight. For each $0.2 \mathrm{~kg}$ increase in weight, there $\mathrm{s}$ a $4.5 \mathrm{~cm}$ hcrease in helylt. Hest Fayt Paes 14 of 20

$8: 16$ Today 8:08 AM Edit - Distances to Read Road Signs E. 600 Dntwer Moe (Vears) ats Q swa $\cos$ 凹 0 的

Question 11 (1 point) MC11 A researcher wants to study the relationship between people's age $(x)$ and their cholesterol level (y). In a random sample of 100 people, the researcher found the coefficient of determination to be $r^{2}=0.61$ How can this number be explained? There is a moderate, negative correlation between people's age and cholesterol level. $61 \%$ of the variation in people's cholesterol levels can be explained by their age. $61 \%$ of the variation in people's age can be explained by their cholesterol level. There is a moderate, positive correlation between people's age and cholesterol level. Previous Page Next Page Page 11 of 20

MC12 Which statement best matches the coefficient of correlation for the data shown? \begin{tabular}{|c|c|} \hline $\boldsymbol{x}$ & $\boldsymbol{y}$ \\ \hline 80 & 3.7 \\ \hline 81 & 1.8 \\ \hline 83 & 3.5 \\ \hline 86 & 3.4 \\ \hline 89 & 3.6 \\ \hline \end{tabular} Weak positive Weak negative Moderate positive Strong negative Page 12 of 20

Question 13 (1 point) MC13 Given the survey data, what is the regression equation? \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline$x$ & 0.5 & 0.8 & 1.5 & 3 & 2.5 & 1.5 & 2.25 & 2.6 & 2 & 1.5 & 3 & 3.25 & 1.5 & 4 & 2.75 \\ \hline$y$ & 52 & 64 & 59 & 78 & 74 & 66 & 79 & 73 & 58 & 76 & 77 & 89 & 90 & 94 & 96 \\ \hline \end{tabular} $y=53.64 x+9.81$ $y=0.05 x-1.60$ $y=-1.60 x+0.05$ $y=9.81 x+53.64$ Previous Page $\quad$ Next Page Page 13 of 20

Question 14 (1 point) MC14 A relationship between height $(x)$ in $\mathrm{cm}$, and weight $(y)$ in $\mathrm{kg}$, in school children has a regression equation $y=0.2 x+4.5$ Which best describes the coefficient of the independent variable? For each $1 \mathrm{~kg}$ increase in weight, there is a $0.2 \mathrm{~cm}$ increase in height. For each $0.2 \mathrm{~cm}$ increase in height, there is a $4.5 \mathrm{~kg}$ increase in weight. For each $1 \mathrm{~cm}$ increase in height there is a $0.2 \mathrm{~kg}$ increase in weight. For each $0.2 \mathrm{~kg}$ increase in weight, there is a $4.5 \mathrm{~cm}$ increase in height. Previous Page Next Page Page 14 of 20

Page 1: 1 Page 2: 2 Page 3: 3 Page 4: 4 Page 5: 5 Page 6 6 Page 7: 7 Using the scatter plot and regression line shown, what is the predicted maximum distance to read a sign for a driver of age 30 ? 425 550 475 450