1. Give 5 variables that can affected an algorithm that has been used to predict loans that were denied by financial institutions. 2. Determine the variables in the graph given. Use your knowledge about Linear Regression to answer these question. Refer to the video and our classroom discussions. 1. What can you say about the trend of the graphs. 2. What predictions can you make about the future. 3. Explain why this graph does not give an accurate description FRED Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States Homeownership Rates by Race and Ethnicity: Hispanic (of Any Race) in the United States Homeownership Rates by Race and Ethnicity: All Other Races: Total in the United States Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States Homeownership Rates by Race and Ethnicity: Black Alone in the United States 80 75 70 65 Percent 60 55 50 45 40 1995 2000 2005 2010 2015 2020 1. Give 5 variables that can affected an algorithm that has been used to predict loans that were denied by financial institutions. 2. Determine the variables in the graph given. Use your knowledge about Linear Regression to answer these question. Refer to the video and our classroom discussions. 1. What can you say about the trend of the graphs. 2. What predictions can you make about the future. 3. Explain why this graph does not give an accurate description FRED Homeownership Rates by Race and Ethnicity: All Other Races: Asian, Native Hawaiian and Pacific Islander Alone in the United States Homeownership Rates by Race and Ethnicity: Hispanic (of Any Race) in the United States Homeownership Rates by Race and Ethnicity: All Other Races: Total in the United States Homeownership Rates by Race and Ethnicity: Non-Hispanic White Alone in the United States Homeownership Rates by Race and Ethnicity: Black Alone in the United States 80 75 70 65 Percent 60 55 50 45 40 1995 2000 2005 2010 2015 2020