Please ,I need help and I cant find how to deal with it.

You will use the data file educwage10.csv to answer this question. It is a subset of a survey dataset on individual's education, earnings and family backgrouds in the US. It is available on Moodle in csv format. The variables are as follows: ? S: Years of schooling ? SM: Years of schooling of respondent's mother ? SF: Years of schooling of respondent's father We are interested in the relationship between individual's years of schooling and his/her mother's educational attainment. *Please begin this question on a new page (a) Estimate the following linear regression model by least squares. Report the result and include your Eviews output in your answer. (3 Marks) Si = ?1 + ?2SMi + ei (6) (b) Why do we include the error terms ei in our model? Give two specific examples of variables that maybe captured by the error term. (5 Marks) (c) Interpret the estimated slope coefficient. Is this consistent with what you would expect the relationship to be? Explain briefly. (3 Marks) (d) Predict years of schooling for an individual whose mother's education is 13 years. (2 Marks) (e) What level of mother's schooling predicts her child's schooling of exactly 13 years? (2 Marks) (f) Test at the 1% level of significance the null hypothesis that "an extra year of mother's education is associated with an increase in her child's education of half a year." using a two-tailed test. Be sure to write down your null and alternative hypotheses and show all the steps used to conduct your test. (6 Marks) Page 3 of 4 (g) Construct a 95% confidence interval for ?2. Interpret the confidence interval. (3 Marks) (h) If instead you are interested in studying the relationship between individuals' education attainment and his/her father's educational attainment, what regression model would you estimate? Write down the true model. No need to estimate it using Eviews. (2 Marks)

You will use the data file educwage10.csy to answer this question. It is a subset of a survey dataset on individual's education, earnings and family backgroudon the US. It is available on Moodle in csy format. The variables are as follows: . S: Years of schooling . SM: Years of schooling of respondent's mother . SF: Years of schooling of respondent's father We are interested in the relationship between individual's years of schooling and his/her mother's educational attainment. *Please begin this question on a new page (a) Estimate the following linear regression model by least squares. Report the result and include your Eviews output in your answer. (3 Marks) Si = B1 + BySM, + er (6) (b) Why do we include the error terms e, in our model? Give two specific examples of variables that maybe captured by the error term. (5 Marks) (c) Interpret the estimated slope coefficient. Is this consistent with what you would expect the relationship to be? Explain briefly. (3 Marks) (d) Predict years of schooling for an individual whose mother's education is 13 years. (2 Marks) (e) What level of mother's schooling predicts her child's schooling of exactly 13 years? (2 Marks) (f) Test at the 1% level of significance the null hypothesis that "an extra year of mother's education is associated with an increase in her child's education of half a year." using a two-tailed test. Be sure to write down your null and alternative hypotheses and show all the steps used to conduct your test. (6 Marks) Page 3 of 4 (g) Construct a 95% confidence interval for 82. Interpret the confidence interval. (3 Marks) (h) If instead you are interested in studying the relationship between individuals' education attain- ment and his/her father's educational attainment, what regression model would you estimate? Write down the tru model. No need to estimate it using Eviews. (2 Marks)