Potential Trend for Online Shopping Data Based on the Linear Regression and Sentiment Analysis

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Datasets</td><td class="align_center"><svg height="8.68572pt" id="M17" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 8.15071 8.68572" width="8.15071pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 127L243 284L314 263C327 263 339 263 352 264C465 271 600 337 600 480ZM508 481C508 351 402 304 329 304C289 304 265 311 250 317L295 559C302 594 310 606 323 611C335 616 350 619 367 619C455 619 508 573 508 481Z"></path></g></svg> values</td><td class="align_center"><i>R</i>-squared</td><td class="align_center">Adjusted <i>R</i>-squared</td><td class="align_center">Residual standard error</td><td class="align_center">Univariate linear regression equation</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Oven</td><td class="align_center">&lt;2.2<i>e</i> − 16</td><td class="align_center">0.1454</td><td class="align_center">0.1449</td><td class="align_center">0.9787</td><td class="align_center"><span style="width: 129.335ptpx;"><svg height="11.7782pt" id="M18" style="vertical-align:-3.42938pt" version="1.1" viewbox="-0.0498162 -8.34882 129.335 11.7782" width="129.335pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M556 393C556 426 537 448 514 448C496 448 478 435 471 420C468 414 462 401 466 394C473 382 480 368 480 346C480 268 392 143 338 67H336C329 163 319 253 309 330S286 448 254 448C215 448 160 383 127 337L143 311C167 344 200 373 208 373S222 365 229 320C246 214 264 66 268 -20C219 -83 131 -171 17 -239L25 -261L137 -235C248 -110 273 -79 335 8C384 77 481 215 520 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<div>Unitary linear regression analysis on star_ratings and reviews of the three datasets.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Potential Trend for Online Shopping Data Based on the Linear Regression and Sentiment Analysis 