1 Consider below model that explains the number of book read in 2001. Independent variables are, Age: Measured in years,

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1 Consider below model that explains the number of book read in 2001. Independent variables are, Age: Measured in years,

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1 Consider Below Model That Explains The Number Of Book Read In 2001 Independent Variables Are Age Measured In Years 1
1 Consider Below Model That Explains The Number Of Book Read In 2001 Independent Variables Are Age Measured In Years 1 (31.33 KiB) Viewed 95 times
1 Consider below model that explains the number of book read in 2001. Independent variables are, Age: Measured in years, Income: Income of the family, measured in 100011 D3: Gender, 11 Female, De: 1 of Parents has primary school degree (the highest education level of parents is selected), D5: 1 if parents has high school degree, D6:1 if parents has undergrad degree, 07:1 if the person has primary school degree 08:1 If the person has high school degree, 09:1 If the person has undergrad degree, 010: 1 If the person is living in urban, 011: D6x9. 012: Incomex09. Regression Statistics Multiple R 0 685 R Square Standard Error 7.117 Observations 33 ANOVA Significance F df SS MS F Regression Residual 12 20 32 50 656 Total 1013.129 1908 970
ANOVA Significance F df SS MS F Regression Residual Total 12 20 32 50.656 1013.129 1908.970 Standard Error 12.392 0.621 1 Stat 1.449 -2.248 P-value 0.163 0.036 Intercept Income (1000 TL) Age D3 1 If W D4 1 if ilkokul D5 1 if Lise D6 1 if Lisans D7 if İlkokul D8 1 if Lise D9 1 If Lisans D10 1 If Urban D11 =D6 D9 B = IncomexD9 Coefficients 17.952 -1.396 0.160 1.642 4.312 -0.818 13.897 1.470 5.725 -16.565 -0.913 - 14.166 1.794 3.646 6.175 5.839 7.537 6.531 7.296 10.815 4.365 7.004 0.701 0.450 -0.698 -0.140 1.844 0.225 0.785 -1.532 -0.209 -2.022 2.559 0.657 0.493 0.890 0.080 0.824 0.442 0.141 0.836 0.057 0.019 Lower 95% -7.898 -2.691 -0.180 -5.964 -17.193 -12.997 -1.824 -12.154 -9.494 -39.124 - 10.019 -28.776 0.331 Upper 95% 43.801 -0.101 0.499 9.247 8.570 11.361 29.518 15.094 20.944 5.995 8.193 0.445 3.257
a. What is the expected change in number of books read if A in income = 5000TL?, Does it satisfy your expectation (3 points) b. Is the Age variable statistically significant? (5 points) C. Calculate 80% Confidence Interval Income. (5 Points) d. Find the coefficient of determination(3 Points) Is the model statistically significant? (4 Points) What is the benchmark category of D11? (3 Points) g. Interpret D11 and B12- (5 Points) h. A researcher proposes to exclude Income and parents' education (i.e. D4, D5, D6) from the model. An auxiliary regression is estimated with SST=1908 and SSE=132. Should we drop these variables? (5 Points) e. f.
2. Consider the summations below. The sample has 11 observations. (-y) = 0 (x1 - x) = 0 20-7)(x-x) = 573.18 (x1 - x)2 = 675.64 Σ9 = 529 Σα = 0 02 = 316.65 20-)2 = 802.91 X = 18.82 Y = 48.09 a. Find the estimated slope and intercept coefficients. (2 Points) b. Find the coefficient of determination. (2 Points) c. Test if B, is statistically significant. (3 Points) d. Test if ß, is equal to 3921 at a = %2.5 (2 points) Test if B, and B, are simultaneously equal to zero. (3 Points)
3. True / False questions. If true, you are not supposed to write why, but if false you need to correct it or make an explanation. (3 points each) a. SRL lles exactly on PRL. b. The assumption of constant variance for different levels of exogenous variable is called heteroscedasticity Σ' = 0 C d. If you take the square root of coefficient of determination you will find the coefficient of correlation. Interpreting the coefficient of correlation will cause no problems e. OLS is the abbreviation that is used to mention the properties of an estimator
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