- By
**gryta** - Follow User

- 97 Views
- Uploaded on

Download Presentation
## PowerPoint Slideshow about ' Dependent Variable (placed on vertical axis: y)' - gryta

**An Image/Link below is provided (as is) to download presentation**

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript

### All about the LOBF…

### Which one of these is the best LOBF?

### You can use LOBF’s to make predictions for values that are not actually recorded or plotted.

### Using our height and humerus data…

### Using our height and humerus data…

Dependent Variable(placed on vertical axis: y)

- A dependent variable is a variable dependent on the value of another variable

Independent Variable(placed on horizontal axis: x)

- The independent variable causes an apparent change in, or affects the dependent variable

- In a call centre, the number of customers serviced depends on the number of agents
- At ski resort, the amount of sales, in $, depends on the amount of snow
- The amount of bacteria on your hands depends on how often frequently you use hand sanitizer.

dependent variable (y)

independent variable (x)

If the points nearly form a line, then the

correlation is ___________________.

If the points are dispersed more widely,

but still form a rough line, then the

correlation is _______________________.

strong

weak

Does age have a strong positive correlation with height? Explain.

- Do you think the variables are placed appropriately on the axes?
- c) Would weight vs. age show a strong positive correlation?
- d) Can you think of a variable that does have a strong positive correlation with age?
- e) Can you think of a variable that has a strong negative correlation with age?

- shows a trend or pattern on a scatterplot
- used to make predictions

How do I draw it?

What is it?

- models the trend/pattern

- models the trend/pattern
- through as many points as possible
- equal points above and below the line

To be able to make predictions, we need to model the data with a line or a curve of best fit.

Guide for drawing a line of best fit:

1. The line must follow the ______________.

2. The line should __________ through as many points as

possible.

3. There should be ____________________________ of points

above and below the line.

4. The line should pass through points all along the line, not just

at the ends.

trend

pass

equal

#1

#4

#3

And what is wrong with the others?

Line not in middle of points

Doesn’t model trend

Wrong for all kinds of reasons!

Return to front side of hand out and make lines of best fit on each of the given 6 graphs.

Extrapolation

Interpolation

- prediction involving a point outside the set of data

- prediction involving a point within the set of data

(line needs to be extended)

Is this interpolation or extrapolation?

How tall would a person be that had a humerus of 44 cm?

181 cm tall

exptrapolation

Is this interpolation or extrapolation?

How long would a person’s humerus be that was 163 cm tall?

28 cm long

interpolation

See bottom of handout

Download Presentation

Connecting to Server..