Question

The data set shows the number of practice throws players in a basketball competition made and the number of free throws they made in a timed competition.

http://i.imgur.com/1s1VW0I.png


A. http://i.imgur.com/ewuj6Lc.png

B. Which model best fits the data set?

Answer 1

Okay, this particular lesson in algebra was tough for me, and because we are so relatable, I believe you will have a hard time with it as well. My tip: Get to know the box plot. You will be working with them a lot and its essential to know how to make them and how to use them. I know that if outliers are present in a data set that you would use the median and IQR to measure center and spread because they are unaffected by extreme values. We know that outliers are numbers that are far in value from the others. And you can use logic to know that if there are NO outliers you would use mean and standard deviation.

Answer 2

In your first link we see that there are NO outliers, therefore, you would use mean or standard deviation to model the data.

Answer 3

0,5 and 15, 34 ?

Answer 4

Well I don't believe your answer would be numbers. It should be standard deviation or mean as your direct answer. You would write "standard deviation or mean"

Answer 5

Oh my bad, so for Linear model under equation of regression model and coefficient of determination, what would I put?

Answer 6

I wasn't good with regression, I cant help you with that one. I would re read the lesson and look up some you tube videos, that's what helped me. Sorry.

Answer 7

Alright but for the linear, quadratic, and exponential under coefficient of determination what would I write? Or do I need to figure out the regression model stuff first?

Answer 8

http://easycalculation.com/statistics/standard-deviation.php

Answer 9

Frankie: Wasn't some data provided with this problem? Can't analyze or fit data that we can't see.

Answer 10

Nope the images attached were all the data given, hence why frustration.

Answer 11

Actually, we DO have data. That table presents your data. We could arbitrarily say that the first row of that data table represents the causal (or independent) variable (x) and the second row represents the response (or dependent) variable.

Answer 12

Our big question is: What is the best model (method, name) for the relationship between the causal and response variables?

Answer 13

I don't really understand, I'm not sure I have to make diagrams or anything. I think I just have to write down terms and models I could use and write them in the graph in part A

Answer 14

It's true that you have to write down a term (one term) or one model name. But how could you do that without having graphs of the respective models?

the idea here, Frankie, is that you need to sketch the graph of the data given you, and once you have that rough sketch, you need to compare your sketch to graphs of (1) linear, (2) quadratic and (3) exponential function(s).

Answer 15

B. Which model best fits the data set?

To save time, I'll just quickly sketch the 3 different models below: