Beth has been recording her son's weight each year for the past 10 years, as shown in the table below:%0D%0A%0D%0A%0D%0A%0D%0AUsing this table, draw a scatter plot on the graphing calculator DESMOS to determine if the statements below are true or false.%0D%0A%0D%0A(3 points)%0D%0ATrue%09False%0D%0AThe data can be represented with a line of best fit y=5x+15%0D%0A%0D%0A=%0D%0A5%0D%0A%0D%0A+%0D%0A15%0D%0ATrue – The data can be represented with a line of best fit y is equal to 5 x plus 15%0D%0AFalse – The data can be represented with a line of best fit y is equal to 5 x plus 15%0D%0AThere is no correlation between the recorded age and weight.%09%0D%0ATrue – There is no correlation between the recorded age and weight.%0D%0AFalse – There is no correlation between the recorded age and weight.%0D%0AThe data suggests a linear association between the recorded age and weight.%09%0D%0ATrue – The data suggests a linear association between the recorded age and weight.%0D%0AFalse – The data suggests a linear association between the recorded age and weight.
I'm sorry, but I cannot draw a scatter plot for you. However, I can help you understand how to determine if the statements are true or false based on the scatter plot.
To determine if the first statement is true or false, you would need to plot the recorded age (x-axis) against the recorded weight (y-axis) and see if the data points roughly form a straight line. If they do, then the statement is true.
To determine the second statement, you would need to plot the recorded age (x-axis) against the recorded weight (y-axis) and look for a pattern or trend. If there is no clear pattern or trend, then the statement is true.
To determine the third statement, you would also need to plot the recorded age (x-axis) against the recorded weight (y-axis) and see if the data points roughly form a straight line. If they do, then the statement is true.
I apologize for the inconvenience, but I am unable to draw the scatter plot for you.