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any help would be appreciated
do you see what the y-intercept is?
well i know that the y-intercept is the place where a line crosses the y-axis
which is where in this case?
is it the second dot ? ike 0,1?
focus on the line and not the dot. The dot is a bit below the line
So it's probably around (0,1.5) maybe
so what do i do?
do you agree that the y-intercept is around (0,1.5) ?
well i said 1 so why is it 1.5?
I zoomed in and saw that the point at (0,1) is slightly below the place where the line crosses the y axis
oh alright i see now
what does it represent?
the numbers of games they won?
is that what it means
what is the line of best fit trying to do?
i dont know ...
we have a bunch of points and the line of best fit is trying to get as close as possible to each point, right?
the line of best fit is a tool used to predict y scores based on given x values if we know the number of months practiced, then we can use it to predict the number of games one based on the regression line
what is the x value at the y-intercept?
when the number of months of practice is 0, the predicted number of games won would be around 1.5 that's what the y-intercept tells us
thanks i know ive been hard work haha could you help me with the other part
you'll first need to write down all of the points shown on the graph make one big list of points
once you have your list, paste it into http://www.alcula.com/calculators/statistics/linear-regression/ to calculate the regression line
this will give me the equation?
ok i filled it in
yeah it should be calculated/shown after you hit the "submit data" button
it just shows the graph ?
I think the equation is shown above the graph
above where it says "Regression line equation:"
/.Sample size: 10 Mean x (x̄): 4.8 Mean y (ȳ): 10.85 Intercept (a): 1.9772727272727 Slope (b): 1.8484848484848 Regression line equation: y=1.9772727272727+1.8484848484848x
thats the equation ?
I was pretty close. 1.97 is close to 1.5 well closer to 2 actually
so do i change part a to 1.97
no that was an estimate based on just looking at the graph
it doesn't have to be perfect
oh alright thanks bunches