A linear time trend model is estimated on annual real euro-area GDP. measured in billions of 2010 euros, using data from 1995 until 2018. The estimated model is RGDPt=- 234178.8+121.3×t+εt. The estimate of the residual standard deviation is σ=262.8. (assuming Gaussian white noise errors). Note that t is the year, so that in the first observation, t = 1995, and in the last, t = 2018. What is the expected mean in 2019?
A linear time trend model is estimated on annual real euro-area GDP. measured in billions of 2010 euros, using data from 1995 until 2018. The estimated model is RGDPt=- 234178.8+121.3×t+εt. The estimate of the residual standard deviation is σ=262.8. (assuming Gaussian white noise errors). Note that t is the year, so that in the first observation, t = 1995, and in the last, t = 2018. What is the expected mean in 2019? A.10,725.9; B.10,847.2; C.10,968.5; D.10,765.2