# Lesson 5.7- Statistics: Scatter Plots and Lines of Fit, pg. 298 Objectives: To interpret points on a scatter plot. To write equations for lines of fit.

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Lesson 5.7- Statistics: Scatter Plots and Lines of Fit, pg. 298 Objectives: To interpret points on a scatter plot. To write equations for lines of fit.

Vocabulary Scatter plot: a graph in which two sets of data are plotted as ordered pairs in a coordinate plane. Positive correlation: as x increases, y increases. y x

Negative correlation: as x increases, y decreases. y x

No correlation: there is no relationship between x and y. y x If the pattern in a scatter plot is linear, you can draw a line to summarize the data.

Line of fit: a line that describes the trend of the data in a scatter plot. Best-fit line: the line that most closely approximates the data in a scatter plot.

a) Draw a scatter plot and determine what relationship exists, if any, in the data. b) Draw a line of fit for the scatter plot. c) Write the slope-intercept form of an equation for the line of fit. d) Predict the body temp of an insect if the air temperature is 40.2 °F Air 25.730.428.731.231.526.230.131.518.2 Body 27.031.528.931.231.525.628.431.718.7 Temperature (°C) 1520253035 0 10 15 20 25 30 35 Air Temperature (°C) Body Temperature (°C)

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