Post Reply 
HP 48G Linear Regression Best Fit Line
12-21-2021, 01:51 AM (This post was last modified: 12-21-2021 02:15 AM by MNH.)
Post: #39
RE: HP 48G Linear Regression Best Fit Line
(12-19-2021 04:00 PM)Rodger Rosenbaum Wrote:  Type your data into the ╬úDAT matrix (as a two column matrix) ...

My data stored in 'ΣDAT'

[[29945.480 921.773]
[30002.951 922.245]
[30058.926 921.687]
[30114.903 923.001]
[30221.977 924.059]]

Quote:... run "Fit data..." in the statistics menu ...

I get

'672.349+0.008*X'
Correlation: 0.894
Covariance: 94.090

Quote: type your X and Y data in separate single column matrices and store in the X and Y variables ...

'x' data stored in 'X'

[[29945.480 1]
[30002.951 1]
[30058.926 1]
[30114.903 1]
[30221.977 1]]

'y' data stored in 'Y'

[[921.773]
[922.245]
[921.687]
[923.001]
[924.059]]

Quote:... then run OFIT.

I get

- Error:
Bad Argument Type

Oops! I just realized that you posted something this morning. Executing the new OFIT program, I get

GET Error:
Bad Argument Type
4: 0.008
3: 672.345
2: 672.345
1: 1.000
Find all posts by this user
Quote this message in a reply
Post Reply 


Messages In This Thread
RE: HP 48G Linear Regression Best Fit Line - MNH - 12-21-2021 01:51 AM



User(s) browsing this thread: 1 Guest(s)