pls help me with this asap?!

The researcher also wanted to investigate the relationship between the Total Fertility rate (per women) in 2004 (T_Fert_2004) and infant Mortality rate (per 1000 live births) in 2004 (|M_2004). She checked the assumptions and he was satised that linear regression can be used to analyse the data. In her sample data. the T,Fert,2004 ranged between 1.4 and 1.8. while IM72004 ranged between 26.62 and 120.71. Regression results where TiFerthOA is the predictor Coefficients Standard Error 1: Stat P-value Lower 95% Upper 95% intercept 72.781 l0.214 7.'l 25 0.000 52.000 93.562 Tfel't72004 2.392 2.366 1.011 0.319 -2.42'i 7.205 8. (2 marks) Select the most appropriate conclusion to the question ' Is there a statistically significant linear relationship between the two variables?" In other words, "is the T_Fert_2004 a useful predictor for the IM_2004?\". A. There is a significant negative linear relationship between the two variables. B. There is not enough evidence to indicate that there is a significant linear relationship between the two variables. C. There is a significant positive linear relationship between the two variables. 9. (2 marks) Which of the two variables (TExpenjOOB or TiFerLZDOZl) was the BETTER predictor of Infant Mortality rate (per 1000 live births) in 2004 {IM72004)? (Note that R2 of the linear regression between TiFertleM and the infant mortality rate is 3 %, and check R2 of for the TExpenJOOS in your model outputs if you need the information.) 0 A. TExpen_2003 is the better predictor since the slope ofthe regression line was significantly different than zero and it has a higher R2. E. Tjertjd is the better predictor since the slope ofthe regression line was significantly different than zero and it has a higher HE. C. Neither of them is good predictors since the slopes ofthe regression lines were not significantly different than Zero. Assume that both of the linear regressions were valid for predictions {the slope of the regression line was signicantly different than zero) for the following questions: 10. (1 mark)) Use the regression equation to predict the Infant Mortality rate [per 1000 live births) in 2004 (|M_2004) for a country that had a total expenditure (T_Expen_2003) of 5: [2dp) 11. (1 mark) Use the regression equation to predict the Infant Mortality rate [per 1000 live births) in 2004 (IM72004) for a country that had a total fertility rate (TiFert72004) of 7: (2dp). 12. (2 marks) Can you use the regression equation to predict Infant Mortality rate [per 1000 live births) in 2004 (IM,2004) for a country that had a total expenditure (T,Expen,2003) of 20%? A. Yes) i can do that. The answer would be 64.61. B. No, I can't do that since the (T7Expen72003) of 20% is outside the range of the observations for TExpen72003. C. No. ican't do that) this is a silly question. 13. (2 marks) Can you use the regression equation to predict the TExpenjOOi for a country which had an infant mortality rate {IM72004] of 5.7 A. Yes) i can do that. The answer would be i356. E. No, I can't do that since the TExpen_2003 is the predictor. not outcome variable. C. No. ican't do that) this is a silly