A number of people were asked how many hours each week they spend on the internet. Their results were graphed against their age in the scatter plot and a strong negative correlation was observed. A line of good fit has been drawn in.20aHelpLessonCalculatorToolboxMoreDetermine the $$x and $$y intercepts of the line of good fit.$$x intercept = $$y intercept = $$ab$$ab​Submit stepView next step20b20c20d10203040x (Age)10203040506070y (Hours)Loading Graph...

A number of people were asked how many hours each week they spend on the internet. Their results were graphed against their age in the scatter plot and a strong negative correlation was observed. A line of good fit has been drawn in.

The scatter plot shows the number of hours worked and money spent on entertainment by each of 21 students. Also shown is the line of best fit for the data.Fill in the blanks below.y510152025303540455055606570x2468101214161820220AmountofmoneyspentonentertainmentindollarsNumberofhoursworked(a)For these 21 students, as the number of hours increases, the amount of money spent tends to ▼(Choose one)(b)For these 21 students, there is ▼(Choose one) correlation between the number of hours worked and the amount of money spent.(c)Using the line of best fit, we would predict that a student working 12 hours would spend approximately ▼(Choose one)

Jacob wants to see if there is a relationship between the speed of a male runner and his age. He collected the age and race time from 27 male runners in a local 200 meter race. His data is depicted in the scatterplot below.Which of the following interpretations does this scatterplot best support?Group of answer choicesThe decreasing exponential trendline is the best choice for this data because older men's running times are exponentially shorter than younger men's times.There is no relationship between men's ages and their running times in the 200 meter race.A linear trendline with a negative slope is the best choice for this data because older men's running times are shorter than younger men's times.The quadratic trendline is the best choice for this data because from Jacob's scatterplot it looks like men around 40 have the slowest running time (the vertex). Men both younger and older than 40 are faster than 40 year olds.A linear trendline with a positive slope is the best choice for this data because older men's running times are longer than younger men's times.

A consumer's spending is widely believed to be a function of their income. To estimate this relationship, a university professor randomly selected 19 of his students and collected information on their spending (Y, in dollars) and income (X, in dollars) patterns in week 6 of the semester. Assuming a linear relationship between Y and X, the professor used the least-squares method and found that the Y intercept = 20.90 and the slope = 0.66. Based on this information, the Y intercept should be interpreted as: a. When a student's weekly income equals zero, the mean value of his/her weekly spending is estimated to be $20.90. b. When a student's weekly spending equals zero, the mean value of his/her weekly income is estimated to be $21.56. c. When a student's weekly income equals zero, the mean value of his/her weekly spending is estimated to be $21.56. d. When a student's weekly spending equals zero, the mean value of his/her weekly income is estimated to be $20.90.

Caroline asked several people about their age and how much television they watch each night. She recorded the data in a scatterplot.What can be concluded from the scatter plot?