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11 votes
Mean annual temperature (°C)

A particular forest in Canada, whose data is not
included in the figure, had a mean annual
temperature of -2°C. Based on the line of best fit,
which of the following is closest to the predicted
percent of leaf litter mass remaining in this particular
forest after decomposing for 3 years?
A) 50%
B) 63%
C) 70%
D) 82%

Mean annual temperature (°C) A particular forest in Canada, whose data is not included-example-1
User Virne
by
4.7k points

2 Answers

1 vote

Answer:

A.50

Step-by-step explanation:

Ithink is a for me

cos it's so hard so is a

User AndrewPt
by
4.5k points
6 votes

The correct answer is option C)70%.

Based on the line of best fit, the predicted percent of leaf litter mass remaining in the particular forest after decomposing for 3 years is closest to 70%.

  • Identify the relevant data: The graph shows the relationship between mean annual temperature (°C) on the x-axis and the percent of leaf litter mass remaining (%) on the y-axis. The line of best fit represents the general trend of the data points.
  • Locate the point of interest: We are interested in the predicted percent of leaf litter mass remaining for a forest with a mean annual temperature of -2°C. This point is not shown on the graph, but we can estimate its location based on the line of best fit.
  • Extend the line of best fit: Imagine extending the line of best fit to the left until it intersects the vertical line at -2°C. This intersection point will indicate the predicted percent of leaf litter mass remaining for the forest in question.
  • Estimate the y-value: Looking at the graph, we can see that the line of best fit intersects the vertical line at -2°C somewhere around the 70% mark on the y-axis. Therefore, the predicted percent of leaf litter mass remaining is closest to 70%.

User Mathieugagne
by
4.8k points