medal for best answer!!!!!! How could the relationship of the data be classified?
A fairly weak positive correlation A fairly strong negative correlation A fairly weak negative correlation A fairly strong positive correlation
"Fairly Strong" usually means a good fit. You can actually SEE the relationship.
I know that it is positive how can u tell whether it is strong or weak?
Asked and answered. "Weak" is vague. You need the mathematics to tall you there is a relationship. If you just look at it and it seems pretty clear, that's strong.
Okay I got 2 more questions I want to make sure are right can you help me?
A company is paying a local radio station to run its commercials. The cost for running commercials is a one-time campaign fee and also a per-second fee for the air time of each commercial. The cost can be modeled by the equation y = 250 + 100x, where x is seconds. What is the slope, and what does it represent? (1 point) 250; it represents the per-second fee of air time 250; it represents the one-time campaign fee 100; it represents the per-second fee of air time 100; it represents the one-time campaign fee
This is just an algebra problem. Do you know the Slope-Intercept Form of a line?
yes y=mx+b
Right. m is the slope. Do you see that in the equation for advertising costs?
so its the number 10?
I mean 250 sorry
It's the coefficient on the x.
Or it may be 100x
So its C?
The slope is $100 / second
Okay so C?
Or D not sure
That's the slope. $100 is NOT a one-time charge.
O so its D?
Why did you talk yourself out of the correct answer. $250 is the one-time charge. $100/sec is the slope. It's in the problem statement.
I am confused sorry don't really understand
y = mx + b m is the slope b is the y-intercept y = 250 + 100x 100 is the slope 250 is the y-intercept This is just the algebra. Relating this to the problem, we have y = 250 + 100x 100 is the slope - the incremental charge for each second. 250 is the y-intercept - the one-time charge.
Okay got it so C
Why do you doubt? Mark it and move on.
Okay Got another question Given the data set for the length of time a person has been jogging and the person's speed, hypothesize a relationship between the variables. There is not enough information to determine correlation. I would expect the data to be positively correlated. I would expect the data to be negatively correlated. I would expect no correlation.
I think it is A because there is no speed of the person
And the length of time is not included
Talk out each one. I'll get you started... "determine"? Who cares? We're supposed to be hypothesizing. You talk out the other three.
It would be no corelation because if you jog alot it doesn't mean you will jog faster.
There is not a correct answer. It is asking you to hypothesize. Come up with an idea and state what you think. If you can support your hypothesis, it should be correct.
Well this is a multiple choice question
All of them can be somehow explained but which one would you pick?
Hint: This is jogging, not competitive racing.
so as distance increases the speed decreases
Typically, a jogger will run and get tired as they go. Competitive racers, in longer races, tend to pace themselves so they can mega kick at the end. I think you have it.
So no correlation I guess then
Take your time and think about it. Don't wait for the answer to fall out of the sky. You have to formulate the argument in your mind. No Correlation Longer running means nothing. A jogger could be going faster or slower. It makes no difference. Positive Correlation Longer running means faster speed. If you think I'm clipping along, now - Just Wait!! Negative Correlation Longer running means lower speed. I'm getting tired. Maybe I'll just walk the next mile.
Okay well I am still confused I will post it in the nest thread thanks!
next
Try to keep it to one question per post. It does help make more sense of a single thread.
Okay Ill just go with no corelation
Go read my examples again. Read carefully. Think about each.
I did still don't understand
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