X Y 4 6 3 Drag blue round points onto the following graph to sketch a scatter plot for these data. 10 6 7, 1. 1. 2. 3.

Make a scatter plot for the given data. Use the scatter plot to describe whether or not the variables appear to be related 10 8 3 7 6 12 9 14 6 2 5 8 14 11 X Y C The variables do not appear to be related OB. The variables appear to be related Ta OC. The variables appear to be related OD. The variables appear to be related

Part Three A class of students recorded the amount of time spent on homework on Monday night. The times are recorded below, in hours. Use the data to answer questions 8 – 10. 12 3 2 2 2호 4 4 1! 1 1 4 3 3 8. Make a line plot of the data shown above. Be sure to include a title and correctly label each value. 9. Julie says the most amount of time spent on homework is 1 times the least amount of time spent on homework. Is she correct? Explain. 10. Daniel says that more than half the students spent 2- hours or more on homework. 2 Liz says more than half the students spent less than 2 hours on homework. Who is correct? Explain.

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. I 11.7 8 6.8 3.6 2.3 2.5 2.5 0.4 y 13.7 11 9.8 I= thousands of automatic weapons 7.4 6.2 6.2 4.2 y = murders per 100,000 residents This data can be modeled by the equation y = 0.84x + 4.11. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Use the equation with the values rounded to two decimal places to make your predictions. A) How many murders per 100,000 residents can be expected in a state with 8.5 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.8 thousand automatic weapons? Answer Round to 3 decimal places.

Which of the following describes how the scatter plot appears? Select all that apply. S A 3 N O H 2 strong weak 3 negative

The data listed below represents the number of customers entering a food store by the number of hours the store was opened on a particular day.    Hours Opened   Customers  0 0 2 1 4 3 6 5 8 2 10 11 12 15   Create the corresponding line graph to represent this data below.

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.4 8.5 6.6 3.6 2.3 2.5 2.1 0.6 y 13.4 11.4 9.3 7.2 5.9 5.9 5.6 4.3 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85x + 3.88. 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 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 9 thousand automatic weapons? Answer = Answer= Round to 3 decimal places.

L3Q2.Describe the variables in the given table using a TI calculator. x y 15 12 20 22 17 -3 A.Moderate and positive B.Weak and positive C.Weak and negative D.No correlation

Dataset physical is available here. The figure for this exercise is a scatterplot of y 61 60 Head circumference (cm) gཆ ཆུ 56 55 54 59- 58 57 = head circumference (centimeters) versus x = height (inches) for 30 females. 53 60 62 64 66 Height (in.) 68 70 72 (a) Which association does the plot show between the two variables? Explain. There is a positive association since the average head circumference seems to decrease as height increases. There is a negative association since the average head circumference seems to increase as height increases. There is a negative association since the average head circumference seems to decrease as height increases. There is a positive association since the average head circumference seems to increase as height increases. There is no association since the average head circumference is approximately the same across heights. (b) One data point appears to be an outlier. What are the approximate values of height and head circumference for that point?…

The scatter plot shows the relationship between the number of minutes studying for a test (x) and the number of mistakes made (y). The graph shows the scatterplot of the data and a fitted line. 19+ 18 17 16 15 14 13 12 10 4 -10 10 20 30 40 50 60 70 80 90 100 lio a2 Select True or False for each statement based on the scatter plot. True/False There is a negative association between the amount of time studying for a test and the number of mistakes made. True False Students who studied for a longer period of time tended to make more mistakes. True False There is a linear association between time True False studying and number of mistakes.