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coach smith kept track of the jumping records for the basketball team f…

Question

coach smith kept track of the jumping records for the basketball team for a 10-year period. draw a line graph for the data.

yearrecord in inches
201676
201774
201874
201970
202069
202169
202268
202365
202463

which line graph accurately represents the data in the table?
options: a, b, c, d (with corresponding line graphs)

Explanation:

Step1: Analyze 2015 data

2015 record is 77 inches. Check graphs: A starts near 80, B near 60, C near 80, D near 60. So B and D out for 2015.

Step2: Analyze 2016 data

2016 is 76 inches (slight drop from 77). A and C: A's 2016 point is lower than 77, C's too? Wait, 2015: A's first point ~80, 2016 ~78? No, table 2015:77, 2016:76, 2017:74, 2018:74, 2019:70, 2020:69, 2021:69, 2022:68, 2023:65, 2024:63. So trend: 77→76→74→74→70→69→69→68→65→63. So initial points (2015 - 2018) should be 77,76,74,74. Graph A: first point ~80 (close to 77), then 78,76,76? No. Wait graph A's y-axis: 50,60,70,80,90,100. So 77 is near 80. 2016:76 (near 80 -1), 2017:74 (80 -6), 2018:74 (same as 2017). Then 2019:70 (80 -10), 2020:69, 2021:69, 2022:68, 2023:65, 2024:63. Graph A's line: starts ~80 (2015), then decreases, has a drop around 2021 -2024? Wait no, the table's 2019 is 70, which is a big drop from 74 (2018). Then 2020:69 (small drop), 2021:69 (flat), 2022:68 (drop), 2023:65 (bigger drop), 2024:63 (drop). Graph A: after 2018, the line drops to ~60? Wait no, 2019 is 70, so y=70 is on the graph (70 line). So graph A: 2015: ~80 (77), 2016: ~78 (76), 2017: ~76 (74), 2018: ~76 (74)? No, 2017 and 2018 should be 74. Wait maybe I misread. Wait graph A: x-axis years 2015,2018,2021,2024? No, x-axis labels: 2015,2018,2021,2024, but data is yearly. Wait maybe the graphs have points for each year (2015 -2024). Let's check graph A: the blue line starts at 2015 (x=2015) with y~80 (77), then each year (x increases) y decreases, with a sharp drop around 2021 -2024? No, table 2019 is 70, which is a drop from 74 (2018). So 2018 to 2019: 74→70 (drop of 4). Then 2019→2020:70→69 (drop 1), 2020→2021:69→69 (flat), 2021→2022:69→68 (drop 1), 2022→2023:68→65 (drop 3), 2023→2024:65→63 (drop 2). Graph A: after 2018, the line drops to ~60? No, 2019 is 70, so y=70 is on the graph (70 line). So graph A's 2019 point should be at y=70. Let's check graph C: 2015: y~80 (77), 2016: ~78 (76), 2017: ~76 (74), 2018: ~76 (74), 2019: ~72 (70)? No. Wait graph A: the first part (2015 -2018) has a smooth decrease then flat at 74, then drops to 70, then continues decreasing. Graph C: starts at 80, then drops to 60? No. Wait the key: 2015:77, 2016:76, 2017:74, 2018:74 (so 2017 and 2018 same). Then 2019:70 (big drop from 74), 2020:69, 2021:69 (flat), 2022:68, 2023:65, 2024:63. Graph A: 2015: ~80, 2016: ~78, 2017: ~76, 2018: ~76 (no, 2017 and 2018 should be 74). Wait maybe I messed up. Wait graph A's y-axis: 50,60,70,80,90,100. So 70 is a grid line. 2019:70, so point at y=70. 2015:77 is between 70 and 80, closer to 80. So graph A: 2015: ~80, 2016: ~78, 2017: ~76, 2018: ~76, 2019: ~70 (drop), 2020: ~69, 2021: ~69, 2022: ~68, 2023: ~65, 2024: ~63. This matches the table's trend. Graph C: 2015: ~80, but then 2016: ~75? No, table 2016 is 76 (close to 77). Graph D: zig-zag, which doesn't match the mostly decreasing trend (with flat at 74, 69). So graph A is correct.

Answer:

A