I have a statistics question

A health researcher conducted a study to assess the impact of consuming a high protein breakfast on the performance of adolescents during a fitness test. 100 subjects were randomly allocated to receive a high protein breakfast; another third of the subjects received a medium protein breakfast while the other third consumed a low protein breakfast. Information on gender was also collected to examine if this had an effect on the fitness test results. A higher score on the fitness test indicates a higher level of fitness. The data collected is available in protein.csv.

The researcher has a number of interests regarding this research. They would like to know if:

1. "there is a statistically significant effect due to the interaction between the variables the gender of an individual and the level of protein they consume at breakfast on the population mean fitness level?". (5 marks)
2. "there is evidence to suggest that there is a statistically significant effect on the population mean fitness level due to the amount of protein consumed at breakfast?"(5 marks)
3. "post-hoc tests are required. If they are, perform them and identify all differences. If they are not required, explain why they are not required."(2 marks)

I have a data set and I need to do it in Rstudio. What would the process be to solve this question including some of the statistics code I might need to use.

fitness gender protein 479.64 female low 503.76 female low 497.19 female low 515.41 female low 490.88 female low 507.68 female low 503.75 female low 511.07 female low 485.98 female low 495.87 female low 509.19 female low 509.21 female low 483.6 female low 504.9 female low 503.98 female low 511.82 female low 501.52 female low 503.06 female low 495.9 female low 495.66 female low 503.69 female low 495.07 female low 511.75 female low 491.8 female low 513.76 female low 498.68 female low 525.11 female low 510.48 female low 515.64 female low 500.2 female low 499.83 female low 487.86 female low 494.97 female low 489.17 female low 499.36 female low 495.79 female low 514.96 female low 495.19 female low 513.78 female low 500.36 female low 505.11 female low 508.5 female low 511.64 female low 503.49 female low 500.58 female low 507.3 female low 502.85 female low 502.63 female low 507.11 female low 483 female low 515.66 male low 528.05 male low 526.33 male low 520.29 male low 535.68 male low 524.1 male low 540.75 male low 546.52 male low 513.91 male low 524.02 male low 524.83 male low 526.91 male low 546.46 male low 532.87 male low 530.19 male low 523.65 male low 542.95 male low 539.83 male low 518.35 male low 514.6 male low 520.35 male low 518.34 male low 529.38 male low 519.12 male low 516.86 male low 532.3 male low 518.79 male low 510.3 male low 514.51 male low 533.79 male low 526 male low 535.38 male low 517.11 male low 515.83 male low 514.35 male low 550.82 male low 521.27 male low 544.1 male low 550.07 male low 536.13 male low 527.16 male low 532.29 male low 542.38 male low 521.99 male low 525.2 male low 521.07 male low 512.21 male low 539.84 male low 521.34 male low 529.08 male low 513.91 female medium 494.01 female medium 507.86 female medium 526.04 female medium 515.34 female medium 496.95 female medium 514.06 female medium 516.89 female medium 492.21 female medium 518.43 female medium 507.08 female medium 508.5 female medium 517.6 female medium 505.59 female medium 500.68 female medium 514.63 female medium 499.69 female medium 503.84 female medium 506.81 female medium 511.45 female medium 510.38 female medium 506.51 female medium 480.02 female medium 501.73 female medium 494.67 female medium 494.79 female medium 497.71 female medium 491.06 female medium 484.21 female medium 496.12 female medium 500.88 female medium 488.54 female medium 506.02 female medium 516.65 female medium 492.33 female medium 501.28 female medium 498.56 female medium 498.38 female medium 522.55 female medium 492.95 female medium 507.37 female medium 475.9 female medium 509.11 female medium 501.68 female medium 490.67 female medium 503.6 female medium 512.1 female medium 525.81 female medium 511 female medium 526.82 female medium 537.05 male medium 523.94 male medium 520.82 male medium 539.47 male medium 512.36 male medium 525.63 male medium 532.63 male medium 545.33 male medium 537.11 male medium 512.09 male medium 532.46 male medium 538.48 male medium 533.53 male medium 525.31 male medium 521.89 male medium 523.49 male medium 531.6 male medium 535.91 male medium 542.48 male medium 525.48 male medium 530.12 male medium 536.27 male medium 520.31 male medium 520.15 male medium 540.37 male medium 525.31 male medium 523.52 male medium 521.06 male medium 540.34 male medium 520.44 male medium 515.89 male medium 524.89 male medium 526.4 male medium 528.07 male medium 529.5 male medium 533.71 male medium 540.74 male medium 539.76 male medium 524.65 male medium 535.98 male medium 528.22 male medium 526.74 male medium 527.33 male medium 530.08 male medium 520.99 male medium 545.85 male medium 525.46 male medium 515.98 male medium 516.22 male medium 518.28 male medium 502.07 female high 499.19 female high 493.66 female high 495.27 female high 484.3 female high 502.01 female high 503.26 female high 524.32 female high 488.52 female high 478.9 female high 504.13 female high 516.74 female high 513.35 female high 486.71 female high 502.72 female high 495.5 female high 506.33 female high 495.49 female high 500.99 female high 521.06 female high 498.39 female high 509.11 female high 486.5 female high 489.27 female high 507.79 female high 502.61 female high 495.29 female high 501.95 female high 494.38 female high 509.15 female high 504.33 female high 508.99 female high 505.41 female high 503.78 female high 503.9 female high 500.6 female high 507.76 female high 496.6 female high 507.81 female high 488.77 female high 490.08 female high 503.28 female high 496.54 female high 466.95 female high 496.02 female high 486.06 female high 533.49 female high 507.03 female high 497.64 female high 499.38 female high 518.2 male high 527.51 male high 508.63 male high 517.13 male high 523.96 male high 531.98 male high 526.26 male high 523.89 male high 528.05 male high 524.96 male high 518.7 male high 532.88 male high 511.85 male high 528.59 male high 510.97 male high 515.93 male high 519.94 male high 517.97 male high 516.67 male high 540.01 male high 526.25 male high 521.06 male high 508.06 male high 523.45 male high 549.84 male high 518.76 male high 536.36 male high 539.28 male high 526.63 male high 514.08 male high 534.86 male high 533.8 male high 524.33 male high 504.95 male high 522.09 male high 519.38 male high 531.34 male high 521.04 male high 548.77 male high 520.57 male high 525.43 male high 522.52 male high 515.38 male high 524.22 male high 516.13 male high 525.22 male high 510.43 male high 516.65 male high 495.83 male high 538.46 male high