Prediction Equation

What type of association does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.5

What type of correlation does this scatter plot show?

• positive 
• negative
• no correlation
• nonlinear association

Tags

CCSS.HSS.ID.B.5

Looking at the graph, what is the correlation between the x and y variables?

• y increases as x increases
• y is constant
• y decreases as x descreases
• y decreases as x increases

Tags

CCSS.HSS.ID.B.5

What is the equation of the line of best fit

• y= -2x + 10

• y= 10x+ 2

• y=2x+10

• y= 10

The equation for a plant's height over time is y = 1.2x + 2 where x is the number of weeks and y is the overall height in inches of the plant. After 3 weeks , how tall will the plant be?

• 5.6 in

• 5.6 ft

• 1.2 in

• 3.6 in

Students in a group of chess teams submitted data about hours of team practice and the number of matches the team won. The graph shows the results of the data. Based on the linear regressions equation y = 3.14x + 3.52, if a team practices 4.5 hours per week next year, which is the best prediction of the number of chess matches a team could expect to win?

• about 24

• about 12

• about 8

• about 18

Tags

CCSS.HSF.LE.B.5

The equation for predicted income over time is y = 31.45x - 242.3 where x is the number of hours and y is the predicted income. If 22 hours were worked on an assembly job what would be the overall income?

• $207.30

• $449.60

• $691.90

• $543.30

Tags

CCSS.HSF.LE.B.5

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters
• 15 chapters
• 18 chapters
• 21 chapters

A person travels by car.  They record their miles driven in a data table.  Calculate the linear regression equation of this data.

• y = 61.93x - 1.79
• y = -1.79x + 61.93
• y = 0.016x + 0.03
• y = 0.03x + 0.016

• Every dollar spent on advertising decreases sales by 2 units.

• Every dollar spent on advertising increases sales by 2 units.

• For every 2 dollars spent, sales increase by one unit.

• Advertising has no impact on sales as indicated by the slope.