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use the data in the scatter plot to answer each question. drag the corr…

Question

use the data in the scatter plot to answer each question. drag the correct choice to each white box. the age and height of several trees at a tree farm are shown below. elves tree farm 1 if a tree is 4 years old, which is the best prediction of the height of the tree? 2 ft 4 ft 6 ft 2 if a tree is 10 feet tall, which is the best prediction of the age of the tree? 12 years 8 years 10 years 3 if a tree is 6 years old, which is not a reasonable prediction of the height of the tree? 5 ft 7 ft 9 ft

Explanation:

Question 1:

Step1: Analyze the scatter plot trend

The scatter plot shows a positive linear trend. For age = 4 years, check the trend line or cluster. At x = 4 (age), the height (y) on the trend or data points around x=4: the point at x=4 has y≈6? Wait, no, looking at the plot: when age is 4, the height (from the plot, the line or points: at x=4, the height is around 6 ft? Wait, the x-axis is age (years), y-axis height (ft). At x=4 (age 4), the data point or trend line: looking at the plot, the line passes near (4,6)? Wait, no, the first point at x=1 (age 1) is y=2, x=2 (age 2) y=3, x=4 (age 4) the point is at y=6? Wait, the plot: when age is 4, the height is 6 ft? Wait, the options are 2ft, 4ft, 6ft. So the best prediction is 6ft? Wait, no, wait the x-axis is age (years), so age 4: looking at the scatter plot, the point at age 4 (x=4) has y=6? Wait, the plot shows at x=4 (age 4), the height is 6 ft. So the best prediction is 6ft? Wait, no, maybe I misread. Wait, the first question: "If a tree is 4 years old, which is the best prediction of the height of the tree?" The options are 2ft, 4ft, 6ft. Looking at the scatter plot, at x=4 (age 4), the height (y) is around 6 ft? Wait, the plot: the x-axis is age (years), so age 4 is at x=4. The y-axis is height (ft). The data points: at x=1, y=2; x=2, y=3; x=4, the point is at y=6? Wait, the line drawn: from (1,2) to (8,10), slope is (10-2)/(8-1)=8/7≈1.14. So at x=4, y=2 + (8/7)*(3)≈2 + 3.43≈5.43, close to 6? So the best prediction is 6ft? Wait, no, the options are 2,4,6. So 6ft is the best.

Step2: Confirm with the plot

Looking at the scatter plot, at age 4 (x=4), the height is approximately 6 ft (the data point or trend line). So the best choice is 6ft.

Question 2:

Step1: Analyze the inverse relationship (height to age)

The scatter plot has age (x) and height (y). So for height = 10 ft (y=10), find x (age). From the plot, when y=10, x=8? Wait, no, the plot shows at y=10, x=8 (since at x=8, y=10). Wait, the options are 12 years, 8 years, 10 years. The trend line: when y=10, x=8. So the best prediction is 8 years.

Step2: Confirm with the plot

Looking at the scatter plot, the point at (8,10) is present. So when height is 10 ft, age is 8 years. So the best choice is 8 years.

Question 3:

Step1: Analyze age 6 (x=6) height predictions

For age 6 (x=6), the height (y) should be around the trend. The trend line: at x=6, y=2 + (8/7)*(5)≈2 + 5.71≈7.71. So reasonable heights are around 5-8 ft? Wait, the options are 5ft, 7ft, 9ft. 9ft is above the trend (at x=6, the data points are around 7-8 ft). So 9ft is not reasonable.

Step2: Confirm with the plot

At x=6 (age 6), the height data points are around 7-8 ft. 9ft is higher than the trend (since at x=8, height is 10, so at x=6, height should be less than 10, but the data points at x=6 are around 7-8). So 9ft is not a reasonable prediction.

Answer:

s:

  1. 6 ft
  2. 8 years
  3. 9 ft