[1] Consider the cars data, which is contained in the base R. Let dist be the response variable y, and speed the covariate z, of regression models. (a) Find the estimates of the coefficients 30 and 3₁ of the regression line for the model given by y₁ = 30 +3₁% + €1 where 's are independently, identically distributed to N(0,0²). (b) Find the estimate of the coefficient 3 of the regression line for the model without intercept given by Yi = Bai + Eis where ei's are independently, identically distributed to N(0,0²). (c) Find the estimates of the coefficients Bo, 3₁ and 32 of the 2nd order polynomial regression curve for the model given by Y₁ =B₁ + B₁x₂ + ₂x² + €₁₁ where 's are independently, identically distributed to N(0,0²). (d) Find the estimates of the coefficients 3₁ and 32 of the 2nd order polynomial regression curve for the model without intercept given by Yi = B₁x₁ + B₂x² + Eis where 's are independently, identically distributed to N(0,0²). (e) Is which model among the above (a) - (d) well fitted to the data? State the reason why you think so.

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[1] Consider the cars data, which is contained in the base R. Let dist be the response variable y, and speed
the covariate x; of regression models.
(a) Find the estimates of the coefficients 30 and 3₁ of the regression line for the model given by
Yi = Bo + Bixi + Eis
where ;'s are independently, identically distributed to N(0, 0²).
(b) Find the estimate of the coefficient 3 of the regression line for the model without intercept given by
Yi = Bxi + Eis
where ei's are independently, identically distributed to N(0,0²).
(c) Find the estimates of the coefficients Bo, 31 and 3₂ of the 2nd order polynomial regression curve for the
model given by
Yi = Bo + B₁x₁ + B₂x² + Ei
where ;'s are independently, identically distributed to N(0, 0²).
(d) Find the estimates of the coefficients 3₁ and 3₂ of the 2nd order polynomial regression curve for the
model without intercept given by
Yi = B₁x₁ + ₂x² + Ei,
where ;'s are independently, identically distributed to N (0,0²).
(e) Is which model among the above (a) - (d) well fitted to the data? State the reason why you think so.
Transcribed Image Text:[1] Consider the cars data, which is contained in the base R. Let dist be the response variable y, and speed the covariate x; of regression models. (a) Find the estimates of the coefficients 30 and 3₁ of the regression line for the model given by Yi = Bo + Bixi + Eis where ;'s are independently, identically distributed to N(0, 0²). (b) Find the estimate of the coefficient 3 of the regression line for the model without intercept given by Yi = Bxi + Eis where ei's are independently, identically distributed to N(0,0²). (c) Find the estimates of the coefficients Bo, 31 and 3₂ of the 2nd order polynomial regression curve for the model given by Yi = Bo + B₁x₁ + B₂x² + Ei where ;'s are independently, identically distributed to N(0, 0²). (d) Find the estimates of the coefficients 3₁ and 3₂ of the 2nd order polynomial regression curve for the model without intercept given by Yi = B₁x₁ + ₂x² + Ei, where ;'s are independently, identically distributed to N (0,0²). (e) Is which model among the above (a) - (d) well fitted to the data? State the reason why you think so.
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