A company is deciding whether or not to hire a new worker. The company must pay the worker hourly and cover a daily cost for insurance. The cost to pay an hourly worker for one day is represented by the function y = 8x + 25, where x is hours. What is the y-intercept, and what does it represent? 8; it represents the hourly wage for the worker 8; it represents the cost for insurance 25; it represents the cost for insurance 25; it represents the hourly wage for the worker
and will somebody help me check my test please.
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??
Well, the y-intercept would be 8. So now your down to a 50, 50 chance. what do you think the 8 represents?
hourly wage
would you like to help check some of my answers on something.
Sure, I can try. :)
And correct, it is the hourly wage.
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? 250; it represents the per-second fee of air time 250; it represents the one-time campaign fee 100; it represents the one-time campaign fee 100; it represents the per-second fee of air time i got D on this.
You suspect that the spiciness of food served in a restaurant is positively correlated with number of soft drinks ordered. You have gathered several observations of people ordering food of different spice-levels and the number of soft drinks they ordered. You have also plotted the data and found a line of best fit. What would be your next steps to test your hypothesis? Plot all data together on a dot plot to assess if there is any visible correlation between the data sets. Offer a conclusion based on the data you observed. Pick two points on the dot plot and find a line of best fit. Find the correlation coefficient to see how well the line of best fit actually fits the data. on this one i got C
Okay, the first one is correct.
And the answer to your second question, I think the answer is "A".
You have also plotted the data and found a line of best fit. What would be your next steps to test your hypothesis? \ but it says this @Gymnastflips
Okay, hold on one second.
like it said i already plotted it thats why i chose the pick two points, because in the process above it hasnt been done yet.
Yeah, I am pretty sure you are correct. (for some reason my computer just didn't get all the text and that part I didn't see).
i wasnt doubting you or anything, i was just curious.
Okay. xD
i was incorrect. (:
and you were wrong about the hourly wage. (: loll. were both wrong
Oh no! I am very sorry. I am also learning this stuff and I am trying to get extra practice. Sorry.
Do you know what the correct answers were?
uhmmmmmm, im about to re do the test, if you wanna help me try again
Okay, I will try again.
The correlation coefficient for practicing violin and getting better grades in a group of people is 0.8. Analyze the following statement: Playing violin causes students to get better grades. Is this a reasonable conclusion? Yes; students who play violin must necessarily get better grades Yes; the correlation coefficient is above 0.5, so that implies causation No; playing violin and earning better grades are completely unrelated No; even though there is a strong positive correlation, playing violin doesn't cause students to get better grades
Okay, I think it is the last answer, but I am not 100% sure.
How could the relationship of the data be classified? A fairly weak positive correlation A fairly strong negative correlation A fairly weak negative correlation No correlation
i think it is to i looked it up and someone said they got the correct answer of d
we both went to that site.. lollllll
i know its not a i got it wrogn before.
Okay. I am just looking up what the different kinds of corraltions look similar to your image. This one is a strong correlation. http://thequalityweb.com/Images/strong_corr.gif
lol, you know the one with plot and pick two points or whatever, well its not plot. so i know the answer is now observe.
Oh, okay. xD
im re doing it again. i got a 60/100
I think the answer to your question is a weak negative correlation.
Since it is going down in a group instead of scattered everywhere.
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. I would expect the data to be positively correlated. I would expect the data to be negatively correlated. I would expect no correlation. There is not enough information to determine correlation.
I think it is either C or D.
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