MATHIS APPROVED G) Word Layout References Mailingi Part 1: Correlation and near Regression It is widely believed that the more education one receives the righer the income warned at the time of first employment and over the course of a career. However, due to varying reasons, many people never complete high school and thus, never receive their high school diploma. Although individuals without a high school diploma are often able to find employment, they experience economic outcomes quite different from those who finish school before entering the workforce to earn a living, Across the bution, there are millions of individuals with families who are now working but do not possess the credentials of a high-school diploma. Many of these individuals and their families are considered to be a part of the working poor that make up a considerable portion of this nation's labor force 1. Use technology to create and provide a scatterplot of the association between the percent of low Income working families and the percent of 18-64 yr olds with no high school diploma" data for each jurisdiction. Write at least two sentences explaining how/Why it is appropriate to create such a scatterplot, and describe the characteristics of the association seen in the scatterplot. Ile sure to use the actual names of the variables in their appropriate places in your responses Print or copy and paste the scatterplot and be sure to clearly identify the predictor and response variables based on the possible believed association) 2. Use technology to find the regression equation for the linear asociation between the percent of low-income working families and the percent of 18 64 yr-olds with no high school diploma [Round final values to two decimal places) Provide this equation and write a brief interpretation of the slope using the variable names (Print or copy and paste the printout that identified the equation of the linear regression line, or any other form of evidence that technology was used.) 2. A student states that a decrease in the percent of 18-04 yr-olds with no high school diploma wil lead to a decrease in the percent of low-income working families. Write at least two concise sentences addressing the key uses of linear correlation and comment on its limitations in a response to the student's statement 4. Calculate and provide the squared for the regression equation. Provide a statement about its meaning in general, and its specific interpretation in the context of this met 5. After examine these data for all the jurisdiction, someone notes that certain areas have hacents with his thing the B 2 2 lop PO 91 o + $ 4 % 5 & 7 6 8 o 9 MATHIS APPROVED G) Word Layout References Mailingi Part 1: Correlation and near Regression It is widely believed that the more education one receives the righer the income warned at the time of first employment and over the course of a career. However, due to varying reasons, many people never complete high school and thus, never receive their high school diploma. Although individuals without a high school diploma are often able to find employment, they experience economic outcomes quite different from those who finish school before entering the workforce to earn a living, Across the bution, there are millions of individuals with families who are now working but do not possess the credentials of a high-school diploma. Many of these individuals and their families are considered to be a part of the working poor that make up a considerable portion of this nation's labor force 1. Use technology to create and provide a scatterplot of the association between the percent of low Income working families and the percent of 18-64 yr olds with no high school diploma" data for each jurisdiction. Write at least two sentences explaining how/Why it is appropriate to create such a scatterplot, and describe the characteristics of the association seen in the scatterplot. Ile sure to use the actual names of the variables in their appropriate places in your responses Print or copy and paste the scatterplot and be sure to clearly identify the predictor and response variables based on the possible believed association) 2. Use technology to find the regression equation for the linear asociation between the percent of low-income working families and the percent of 18 64 yr-olds with no high school diploma [Round final values to two decimal places) Provide this equation and write a brief interpretation of the slope using the variable names (Print or copy and paste the printout that identified the equation of the linear regression line, or any other form of evidence that technology was used.) 2. A student states that a decrease in the percent of 18-04 yr-olds with no high school diploma wil lead to a decrease in the percent of low-income working families. Write at least two concise sentences addressing the key uses of linear correlation and comment on its limitations in a response to the student's statement 4. Calculate and provide the squared for the regression equation. Provide a statement about its meaning in general, and its specific interpretation in the context of this met 5. After examine these data for all the jurisdiction, someone notes that certain areas have hacents with his thing the B 2 2 lop PO 91 o + $ 4 % 5 & 7 6 8 o 9