 # TS models project report.docx - Gold Price Regression...

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Gold Price Regression ModelsApply egression models using data partitions. Consider thefollowing 5 regression-based models:i. Regression model with linear trendii. Regression model with quadratic trendiii. Regression model with seasonalityiv. Regression model with linear trend and seasonalityv. Regression model with quadratic trend and seasonality.vi. Holt Wintera.Regression Model with Linear Trend:-> The regression model with linear trend follows the following equation:yt= 25781.4 + 103.5 t-> Regression with Linear Trend model usingsummary() function is shown below:
forecast() function:This data is a good fit for the train data(train.ts) since it has a multiple R-squared value of 0.5319 andadjusted R-squared value 0. 5252.We can infer from the summary that this model is statistically significant.Thus, we can use this model for time series forecasting.
b.Regression Model with Quadratic Trend:-> The regression model with quadratic trend follows the following equation:yt= 73800.248 + 2009.845 t – 20.823 t^2-> summary():->forecast():->This data is a good fit for the train data(train.ts) since it has a multiple R-squared value of 0.8692 andadjusted R-squared value of 0.8638.->The value of F-statistic is statistically significant since p-value is lower than 0.05.

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Holt Winter, Gold Price Regression Models
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