In a random sample of sixteen different industries the percentage employment x in STEM (science, technology, engineering, mathematics) and mean annual compensation y(in thousands of dollars) were recorded, with the following results. The scatter diagram showed a linear trend. SSxx = 1303.9 SSxy= 1503.0 SSyy = 2660.2 Ey = 915 n = 16 %3D Ex = 150 .1 1s x s 34 36.7 s y < 90.5 Calculate the slope of the linear regression line relating y as a function of x accurate to two decimal places.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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In a random sample of sixteen different industries the percentage employment x in STEM (science,
technology, engineering, mathematics) and mean annual compensation y(in thousands of dollars)
were recorded, with the following results. The scatter diagram showed a linear trend.
SSx = 1303.9
SSxy= 1503.0
SSy
= 2660.2
Ex = 150 .1
Ey = 915 n = 16
1sx s 34
36.7 s y s 90.5
Calculate the slope of the linear regression line relating y as a function of x accurate to two decimal
places.
Transcribed Image Text:In a random sample of sixteen different industries the percentage employment x in STEM (science, technology, engineering, mathematics) and mean annual compensation y(in thousands of dollars) were recorded, with the following results. The scatter diagram showed a linear trend. SSx = 1303.9 SSxy= 1503.0 SSy = 2660.2 Ex = 150 .1 Ey = 915 n = 16 1sx s 34 36.7 s y s 90.5 Calculate the slope of the linear regression line relating y as a function of x accurate to two decimal places.
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