Hello, I am doing an assignement which explore the relationship of two variables to predict the future.Could you pls help me to answer the question:Based on your linear regression line, what is the projected number of tweets in week21? ( approx integer) is the correlation between tweets and time(weeks) positive or negative ? Is it strong or weak?To two decimal places, what percentage of the variation in the number of tweets is explained by the passage of the time? Can you trust that figure? I would appreciate if you can send also the explanation also Thanks ?

COVID-19 Time Series SUMMARY OUTPUT Normal Probability Plot Tweets #COVID Average daily coronavirus andd'or Week Week Week 1 4,503,260 Regression Statistics Week 2 4,062,305 Multiple R 0.651469463 Week 3 3,509,778 R Square 0.424412462 Week 4 3,997,419 Adjusted R Squ 0.392435376 20 40 60 80 100 120 Week 5 4,194,514 Standard Error 4.611373096 Sample Percentile Week 6 4,620,511 Observations 20 Week 7 4,154,781 Week 8 3,250,753 ANOVA Week 9 3,201,564 SS MS Significance F Week 10 3,856,944 Regression 282.2342871 282.2342871 13.27239352 0.001859861 Week 11 4,379,514 Residual 382.7657129 21.26476183 Week 12 4,725,111 Total 665 Week 13 5,008,433 Week 14 4,714,159 Coefficients Standard Error t Stat P-value Lower 95%% Upper 95Mower 95.09 Upper 95.09 Week 15 3,845,210 Intercept -1173881361 6.190792269 1.896173075 0.074106523 -24.74518553 1 267558 -24.7452 1.267558313 Week 16 4,224,577 Average daily 5.01568E-06 1 376756-06 3.643129633 0.001859861 2.12323E-06 7.918-06 2.126-06 7.90812E-06 Week 17 5,432,457 Week 18 5,471,594 Week 19 5,516,244 Week 20 6,008,042 RESIDUAL OUTPUT PROBABILITY OUTPUT 7,000,000 Evalution per week of Average daily Tweets as #COVID or #coronavirus Observation dicted We Residuals Percentile Week 1 10.8481 -9.848095687 2.5 6,000,000 2 8.636407 -6.636406691 7.5 3 5.865108 -2.865108291 12.5 5,000,000 4 8.310959 -4.310959305 17.5 5 9.299525 4.299524675 22.5 4,000,000 6 11.43619 5.436189136 27.5 7 9.100237 -2.100236677 32.5 3,000,000 8 4.565922 3.434078116 37.5 9 4.319206 4.68079438 42.5 2,000,000 10 7.606382 2.393618286 47.5 11 10.22743 0.7725746 52.5 1,000,000 12 11.96083 0.039170778 57.5 13 13.38188 0.381881596 62.5 14 11.9059 2.094102501 67.5 Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week Week 15 7.547528 7.452472271 72.5 3 5 11 12 14 15 16 17 18 20 16 9.450311 5.549688949 77.5 aromas Linear [Average daily Tweets #COVID and/or #coronavirus] 17 15.50865 1.491349879 82.5 18 15.70495 2.295051226 87.5 19 15.9289 3.071101132 92.5 20 18.3956 1.604399938 97.5