Question 1 1 pts Scatterplot of Income (percapita) vs %bachelor 45000 Where .Arkansas Colorado Connecticut 40000 Georgia Indiana Kansas Kentucky 35000 Michigan Minnesota Missouri & Montana Income (percapita) 30000 Nebraska North Carolina North Dakota Ohio Pennsylvania 25000 South Carolina A South Dakota Tennessee Texas 20000 Vermont Virginia West Virginia 10 20 30 40 50 %bachelor The scatterplot above shows the percent of the population that earned a bachelor's degree and the per-capita income for 25 randomly selected counties in the U.S. in 2017. Which of the following is the best estimate for the correlation coefficient, r? O r=0.787 O r=0.213 O r=-0.568 O r=0.985Question 2 1 pts Researchers released water across a testbed of farmland at different flow rates and measured the amount of soil washed away. The following scatterplot shows the flow (in liters per second) and the weight (in kilograms ) of the eroded soil. Scatterplot of Eroded Soil (Kg_ vs Flow (L/sec) Eroded Soil (Kg_ w 2 00 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Flow (L/sec) The correlation was calculated as r=0.962. Which of the following best describes the correlation? O r=0.962 indicates the relationship between flow rate (L/sec) and soil erosion (Kg) is positive and strong. O r=0.962 indicates the relationship between flow rate (L/sec) and soil erosion (Kg) is positive and weak. O r=0.962 indicates the relationship between flow rate (L/sec) and soil erosion (Kg) is linear, positive, and weak. O r=0.962 indicates the relationship between flow rate (L/sec) and soil erosion (Kg) is linear, positive, and strong.Question 3 1 pts Researchers released water across a testbed of farmland at different ow rates and measured the amount of soil washed away. The following scatterplot shows the ow (in liters per second) and the weight (in kilograms ) of the eroded soil. A linear model was calculated as: Eroded Soil (Kg):1.317+1.034*FlowRate(L/sec). Fitted Line Plot Eroded Soil (Kg_ = 1.317 + 1.034 Flow (Usec) Eroded Soil (Kg_ 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Flow ( Usec) Use the regression model to predict the soil erosions for a ow rate of 4.2 L/sec. 0 5.2476 Kg 0 4.8761 Kg 0 5.6598 Kg 0 6.0127 Kg Question 4 1 pts Researchers released water across a testbed of farmland at different flow rates and measured the amount of soil washed away. The scatterplot shows the flow (in liters per second) and the weight (in kilograms ) of the eroded soil. A linear model was calculated as: Eroded Soil (Kg)=1.317+1.034*FlowRate(L/sec). Scatterplot of Eroded Soil (Kg_ vs Flow (Usec) . Eroded Soil (KL ....._ 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Flow (Usec) Use the linear model to predict the eroded soil in Kg for a ow rate of 2.1 L/sec. 0 3.0873 Kg 0 3.4884 Kg 0 3.1590 Kg 0 3.2893 Kg Question 5 1 pts Scatterplot of Income (percapita) vs %bachelor 45000 Where Arkansas Colorado Connecticut 40000 Georgia Indiana Kansas Kentucky 35000 Michigan Minnesota Missouri Montana Income (percapita) Nebraska 30000 North Carolina North Dakota Ohio Pennsylvania 25000 South Carolina South Dakota 14 Tennessee Texas 20000 Vermont MO Visginia West Virginia 10 20 30 40 50 %bachelor The scatterplot above shows the percent of the population that earned a bachelor's degree and the per-capita income for 25 randomly selected counties in the U.S. in 2017. Which of the following best explains why the county located in Kentucky might be considered unusual? The per capita income for this county is lower than expected given the percent with bachelor's degrees. The per capita income for this county is much higher than expected given the percent with bachelor's degrees. The percent with bachelor's degrees is much lower than any of the other counties. The percent with bachelor's degrees is much higher than any of the other counties