Question

The scatterplot displays the number of pretzels students could grab with their dominant hand and their handspan, measured in centimeters. An analysis was completed and the computer output is shown.

A graph titled Grabbing Pretzels has handspan (centimeters) on the x-axis, and number of pretzels on the y-axis. A line goes through points (19, 16) and (22, 20).

Predictor Coef SE Coef t-ratio p
Constant -14.71 4.317 1.689 0.046
Handspan 1.585 0.310 5.114 0.000
S = 3.05 R-Sq = 52.1% R-Sq(Adj) = 51.7%
Using the computer output, the slope of the least-squares regression line means for each additional

Answer 1

The slope of the Least-Square Regression Line is 1.585 from the regression output given, hence, for each additional increase in handspan, the number of pretzels increases by 1.585

• The slope of a linear regression line gives the rate of increase in y-value per change in x

• The Handspan Coefficient on the table is the slope of the regression line

• Therefore, for every 1 centimeter increase in handspan, number of pretzels increases by 1.585

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Answer 2

Answer:

D ) centimeter in handspan, the number of pretzels is predicted to increase by about 1.585.

Step-by-step explanation:

The guy above me was almost right, except he doesn't clarify that this is a PREDICTED increase. The correlation isn't 100%, so it isn't C