3. Let X = [#1, r2,..., Im] be an instance set in R with labels y...

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3. Let X = [#1, r2,..., Im] be an instance set in R with labels y = [y1,2, ..., Ym], also in R. Define the following numbers from this data: t =) i=1 Using the procedure to find the LSR line that was discussed in class, derive the fol- lowing equations ut - sv mu - st LSR intercept: 6 LSR slope: w mu - s2 mu - s2 [Hint: Start by calculating A" A in terms of a general instance set a, #2, ..., Em and compare what you get to the numbers s, t, u, v.] 4. Recall the coefficient, of determiation R2. which for linear regression with predictions 3. Let X = [#1, r2,..., Im] be an instance set in R with labels y = [y1,2, ..., Ym], also in R. Define the following numbers from this data: t =) i=1 Using the procedure to find the LSR line that was discussed in class, derive the fol- lowing equations ut - sv mu - st LSR intercept: 6 LSR slope: w mu - s2 mu - s2 [Hint: Start by calculating A" A in terms of a general instance set a, #2, ..., Em and compare what you get to the numbers s, t, u, v.] 4. Recall the coefficient, of determiation R2. which for linear regression with predictions

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Let a 9 xa 4 A obser vatiens on two variables x and Y Let the ... View the full answer