HELLO I WOULD LIKE HELP IN THE FOLLWOING QUESTIONS.

THANK YOU

Question 1 {2 points} Given that the line of best fit for employment growth in the health care and social assistance fields in Ontario can be modeled by the equation y=9.5x+596.5, where y represents the number of employees in thousands and x represents the number of years since 2010, determine the number of employees in these fields in 2018. The population is in thousands. The numerical answer needs to reflect that. For example 696.1 means 696100. If all the provinces and territories grew at the same rate, what would Quebec's population be when Canada's population reached 50 million? Make sure to include evidence of your work by fully writing out your solution. Question 10 (2 points) The following graph shows the 2016 Canadian population by percent for each province and territory. Percent of Canada's Population (2016) NT 0.12% YT 0.1% PE 0.41% NU 0.1% Ontario (ON) Quebec (QC) NL 1.5% NB 2.1% British Columbia (BC) NS 2.6% SK 3.1% Alberta (AB) MB 3.6% Manitoba (MB) AB 11.6% Saskatchewan (SK) ON 38.3% Nova Scotia (NS) New Brunswick (NB) BC 13.2% Newfoundland and Labrador (NL) Prince Edward Island (PE) QC 23.2% Northwest Territories (NT) Yukon (YT) Nanavut (NU)Question 11 (3 points) Use the values in the table to determine a} the equation of the line of best fit, and b) the correlation coefficient. You may wish to sketch a scatter plot in your rough notes to help you. You do not need to submit the scatter plot. Question 12 (1 point) Based on the following table, if a storm had 180mm of rainfall and 6mm of runoff, this point would be considered an outlier. You may want to sketch a scatter plot for the situation. Rainfall Runoff (mm) (mm) 20 5 50 12 80 21 100 35 125 40 150 58 200 74 True O FalseQuestion 13 (1 point) The number of hours spent studying for the exam and the grade on the exam would most likely show a Negative correlation Positive correlation No correlationQuestion 14 (1 point) The number of years remaining to retirement and the value of the individual's savings and RRSP (registered retirement savings plan) would most likely show a negative correlation positive correlation no correlationBased on the graph, the linear modeled is a good fit for the data Question 2 (1 point) These are the residual plots for employees in the health care and social assistance fields in Ontario from 2010 to 2014. Residual Plot . Y. 82:B6 -08 -04 -42 04 04 09 12 14 22 24 26 32 34 34 42 44 Regression Model 14 20 y= 113x + 601:4Question 3 {1 point) When a linear regression for the growth of the number of employees in the health care and social assistance fields in Quebec from 2010 to 2014 is performed, the following values are determined: 7' : 0. 9948 13:09:39? These values indicate that a linear model is a good fit for the data. Based on the graph, the linear modeled is a good fit for the data Question 5 (1 point) This is the residual plot for employees in the health care and social assistance fields in Quebec from 2010 to 2014. OI II ll .13". Who-mm I. 'II I.l 9 II. t I l I I i II I) 'II M I- I II I I I 2! Based on the graph, the linear modeled is a good fit for the data Question 6 {1 point) When a linear regression for the growth of the number of employees in the health care and social assistance fields in Ontario from 2010 to 2014 is performed, the following values are determined: 7' : 0. 9814 #:09631 These values indicate that a linear model is not a good fit for the data. Calculate the percentage change in Quebec from 2013 to 2014Question 7 (2 points) 2010 2011 2012 2013 2014 Ontario 597.5 615.1 628.7 634.3 644.4 Quebec 392.3 400.9 410.2 417.2 422.6 The table above shows the number of employees (in thousands) in the healthcare and social assistance fields in Ontario and Quebec. Calculate the percentage change in Quebec from 2010 to 2011 Calculate the percentage change in Quebec from 2011 to 2012 A Calculate the percentage change in Quebec from 2012 to 2013Question 8 {3 points} The following table shows the number of employee in Ontario and Quebec in the health care and social assistance fields from 2010 to 2014. oman'o man-6281 Quebec 392-3 nm Determine which province has the largest growth rate in this field. Provide three points to support your thinkingnyou might want to create a graph to help you answer this question. You don't have to submit the graph. Given that Saskatchewan's population in 2016 was about 1.1 million, about how many people lived in Alberta at this time? Make sure to include evidence of your work by fully writing out your solution. Question 9 (2 points) The following graph shows the 2016 Canadian population by percent for each province and territory. Percent of Canada's Population (2016) NT 0.12% YT 0.1% PE 0.41% NU 0.1% Ontario (ON) Quebec (QC) %ST IN NB 2.1% British Columbia (BC) NS 2.6% SK 3.1% Alberta (AB) MB 3.6% Manitoba (MB) AB 11.6% Saskatchewan (SK) ON 38.3% Nova Scotia (NS) New Brunswick (NB) BC 13.2% Newfoundland and Labrador (NL) Prince Edward Island (PE) QC 23.2% Northwest Territories (NT) Yukon (YT) Nanavut (NU)