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Scatterplots — Harder example

Watch Sal work through a harder Scatterplots problem.

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• Your startup disk is full. If you dont know what this means, you haven't been paying attention to Sal. (Yeah, thats what i'm saying. Its not time to check your facebook.)
• Sal is unintentionally funny.
• What's the second degree term he is talking about at ? And what is the coefficient? :)
• Also, a highest degree term is the term with the highest power. It is NOT always second degree/squared since if there was a x^3, that would be the highest degree term. In this example of parabolas/quadratic, the highest power is the second degree. But it isn't always
• nice hope yall get a good score on your upcoming SAT's
• Thank you
• What does he mean by "this term goes away and this term goes away" at ?
• The first two terms in the equation have an x in them; more specifically they are being multiplied by an x. When you plug in zero for x, those terms get multiplied by zero. Anything multiplied by zero is zero, so the equation results 0 - 0 + 0.969. The zeroes (those first two terms) can "go away" because adding them does not change the value of 0.969.
• Expression after watching the video:😶
• Hi everyone. I had a question concerning the idea of correlation in scatterplots: so if we refer to a correlation as being 'weak' or 'strong' does it signify the strength of the relationship i.e. how close the points are to the line of best fit - or does it refer to the gradient of the line of best fit (e.g. a small change in one variable causes a relatively large change in the other)? Thanks.
• The 'weak' or 'strong' of a correlation signifies the strength of the relationship, so if a correlation is referred to as strong, it means that all the points are close to or lie on the line of best fit.
Hope this helps!