The regression line for y = snow depth at 6 a.m. (DPTH in inches) and x = daily high temperature (HIGH in ºF) for Grand Rapids, MI from September 1, 2009 to February 28, 2010 is: y= 6.972 - .123x
Use the regression equation above to answer each of the following questions. When asked for an explanation or interpretation, be brief but be thorough.
(a). [1] What is the value of the slope of the regression line?
(b). [1] Interpret what the slope tells you about the relationship between snow depth and daily high temperature.
(c). [1] What is the value of the y-intercept?
(d). [1] Interpret what the y-intercept tells you about the relationship between snow depth and daily high temperature. In the data set, daily high temperatures ranged from below 0º F to above freezing 32º F.
(e). [1] Estimate the snow depth at 6 a.m. for a day where the high temperature was 23º F.
Use the regression equation above to answer each of the following questions. When asked for an explanation or interpretation, be brief but be thorough.
(a). [1] What is the value of the slope of the regression line?
(b). [1] Interpret what the slope tells you about the relationship between snow depth and daily high temperature.
(c). [1] What is the value of the y-intercept?
(d). [1] Interpret what the y-intercept tells you about the relationship between snow depth and daily high temperature. In the data set, daily high temperatures ranged from below 0º F to above freezing 32º F.
(e). [1] Estimate the snow depth at 6 a.m. for a day where the high temperature was 23º F.
