Seasonal Forecasting with a Trend: Step 3 - Estimating Trend with linear regression

  Рет қаралды 976

Ron Lembke

Ron Lembke

3 жыл бұрын

We do a linear regression on the de-seasonalized demand numbers.
Doing the linear regression on the de-seasonalized numbers is important because it gives us much more confidence in the results of the linear regression, because we get a much higher R-squared number, indicating a much higher correlation between demand and time.
Lightboard

Пікірлер
Regression 4: Model for capturing seasonality
8:01
Galit Shmueli
Рет қаралды 10 М.
Каха ограбил банк
01:00
К-Media
Рет қаралды 11 МЛН
Always be more smart #shorts
00:32
Jin and Hattie
Рет қаралды 45 МЛН
THEY made a RAINBOW M&M 🤩😳 LeoNata family #shorts
00:49
LeoNata Family
Рет қаралды 21 МЛН
Linear Regression: Making a linear trend line
7:43
Always Learning
Рет қаралды 26 М.
Correlation and Regression Analysis: Learn Everything With Examples
9:50
LEARN & APPLY : Lean and Six Sigma
Рет қаралды 1,5 МЛН
Learn Statistical Regression in 40 mins! My best video ever. Legit.
40:25
The Excel FORECAST Function
5:31
Technology for Teachers and Students
Рет қаралды 570 М.
Forecasting in Excel using Linear Regression
12:44
PK: An Excel Expert
Рет қаралды 263 М.
Statistics 101: Nonlinear Regression, The Quadratic Model
12:06
Brandon Foltz
Рет қаралды 49 М.
Seasonal indices: calculating SI and deseasonalising data
13:31
Australian Mathematics Curriculum Videos
Рет қаралды 76 М.
Interpreting Linear Regression Results
16:08
Sergio Garcia, PhD
Рет қаралды 295 М.
Time Series - Seasonal Variation
6:51
Stats Bits
Рет қаралды 22 М.