Microsoft Office Tutorials and References

In Depth Information

Fig. 6.32

Worksheet data for Chap. 6: practice problem #3

Create an Excel spreadsheet and enter the data using body length as the

independent variable (predictor) and the forewing length as the dependent variable

(criterion). Underneath the table, use Excel’s = correl function to ﬁnd the

correlation between these two variables. Label the correlation and place it underneath

the table; then round off the correlation to two decimal places.

(a) create an XY scatterplot of these two sets of data such that:

• top

title:

RELATIONSHIP

BETWEEN

BODY

LENGTH

(mm)

AND

FOREWING LENGTH (mm) IN MAYFLIES

• x-axis title: Body Length (mm)

• y-axis title: Forewing Length (mm)

• move the chart below the table

• re-size the chart so that it is 8 columns wide and 25 rows long

• delete the legend

• delete the gridlines

(b) Create the least-squares regression line for these data on the scatterplot, and

add the regression equation to the chart

(c) Use Excel to run the regression statistics to ﬁnd the equation for the

leastsquares regression line for these data and display the results below the chart on

your spreadsheet. Use number format (2 decimal places) for the correlation and

three decimal places for all other decimal ﬁgures, including the coefﬁcients.

(d) Print just the input data and the chart so that this information ﬁts onto one

page. Then, print the regression output table on a separate page so that it ﬁts onto

that separate page.

(e) save the ﬁle as: BODY3

Answer the following questions using your Excel printout:

1. What is the correlation between Body Length and Forewing Length?

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