A researcher wishes to examine the relationship between number of words a child speaks at age two and their score on the SATS 15 years later. The researcher discovers a linear relationship between the data sets, and the least squares line is: ý = 94+ 153x where x is the number of words a child speaks at age two and y is their score on the SATS 15 years later. The slope of the regression line can be interpreted in the following way: When amount of words spoken at two increases by one word, the SAT score tends to decrease by 153. OWhen amount of words spoken at two increases by one word, the SAT score tends to increase by 153. O When amount of words spoken at two increases by one word, the SAT score tends to decrease by 94. O When amount of words spoken at two increases by one word, the SAT score tends to increase by 94.
A researcher wishes to examine the relationship between number of words a child speaks at age two and their score on the SATS 15 years later. The researcher discovers a linear relationship between the data sets, and the least squares line is: ý = 94+ 153x where x is the number of words a child speaks at age two and y is their score on the SATS 15 years later. The slope of the regression line can be interpreted in the following way: When amount of words spoken at two increases by one word, the SAT score tends to decrease by 153. OWhen amount of words spoken at two increases by one word, the SAT score tends to increase by 153. O When amount of words spoken at two increases by one word, the SAT score tends to decrease by 94. O When amount of words spoken at two increases by one word, the SAT score tends to increase by 94.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Transcribed Image Text:A researcher wishes to examine the relationship between number of words a child speaks at age two and
their score on the SATS 15 years later. The researcher discovers a linear relationship between the data sets,
and the least squares line is: ŷ = 94 + 153x where x is the number of words a child speaks at age two
and y is their score on the SATS 15 years later. The slope of the regression line can be interpreted in the
following way:
O When amount of words spoken at two increases by one word, the SAT score tends to decrease by 153.
O When amount of words spoken at two increases by one word, the SAT score tends to increase by 153.
OWhen amount of words spoken at two increases by one word, the SAT score tends to decrease by 94.
When amount of words spoken at two increases by one word, the SAT score tends to increase by 94.
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