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Smoking out does not equal dropping out.
Transcript of Smoking out does not equal dropping out.
There is a statistically significant relationship between the percent of children under the age of 17 who use marijuana and high school drop out rates.
There is no statistically significant relationship between the percent of children under the age of 17 who use marijuana and high school drop out rates.
Null Hypothesis is true!
After conducting Descriptive statistics, the data reveals that there is very little correlation and significance between children under the age of 17 who smoke and high school drop out rates.
The ANOVA F statistic is 2.892 which is fairly
low and close to 1.0 indicating that the mean
is a close prediction. The significance
value is > .05; therefore not very
The B coefficient for marijuana use is .864
which means that the HS Drop Out Rate
increases by .864% for every 1% increase in
marijuana use by children. But the .096
p-value and high Std error make
it statistically not a reliable
The R-square is .059 which is
very low. It shows that Mary Jane
usage is a poor predictor of the
high school drop out rate.
As shown here, the data does not
have much of a linear relationship;
the regression line is a bit on the
deceptive side given the p-value
State MJ Use Drop Rate
RI 13% 23%
VT 11% 14%
CO 11% 26%
NH 10% 14%
D.C. 10% 41%
NM 9% 38%
NV 8% 37%
CA 8% 24%
Avg. 7.5% 21%
What does this mean for policy makers?
Efforts to curb MJ use will not likely improve high school graduation rates.